maxLik: A package for maximum likelihood estimation in R
This paper describes the package maxLik for the statistical environment R. The package is essentially a unified wrapper interface to various optimization routines, offering easy access to likelihood-specific features like standard errors or information matrix equality (BHHH method). More advanced fe...
Saved in:
| Published in | Computational statistics Vol. 26; no. 3; pp. 443 - 458 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Springer-Verlag
01.09.2011
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | This paper describes the package
maxLik
for the statistical environment R. The package is essentially a unified wrapper interface to various optimization routines, offering easy access to likelihood-specific features like standard errors or information matrix equality (BHHH method). More advanced features of the optimization algorithms, such as forcing the value of a particular parameter to be fixed, are also supported. |
|---|---|
| AbstractList | This paper describes the package
maxLik
for the statistical environment R. The package is essentially a unified wrapper interface to various optimization routines, offering easy access to likelihood-specific features like standard errors or information matrix equality (BHHH method). More advanced features of the optimization algorithms, such as forcing the value of a particular parameter to be fixed, are also supported. Issue Title: Special Issue: Proceedings of DSC 2009 This paper describes the package maxLik for the statistical environment R. The package is essentially a unified wrapper interface to various optimization routines, offering easy access to likelihood-specific features like standard errors or information matrix equality (BHHH method). More advanced features of the optimization algorithms, such as forcing the value of a particular parameter to be fixed, are also supported.[PUBLICATION ABSTRACT] This paper describes the package maxLik for the statistical environment R. The package is essentially a unified wrapper interface to various optimization routines, offering easy access to likelihood-specific features like standard errors or information matrix equality (BHHH method). More advanced features of the optimization algorithms, such as forcing the value of a particular parameter to be fixed, are also supported. |
| Author | Toomet, Ott Henningsen, Arne |
| Author_xml | – sequence: 1 givenname: Arne surname: Henningsen fullname: Henningsen, Arne email: arne@foi.dk, arne.henningsen@gmail.com organization: Institute of Food and Resource Economics, University of Copenhagen – sequence: 2 givenname: Ott surname: Toomet fullname: Toomet, Ott organization: Department of Economics, Aarhus School of Business, University of Aarhus, Department of Economics, University of Tartu |
| BookMark | eNp9kFtLwzAYhoNMcJv-AO-CN15Vc2oO3o3hCQaC6HVI23Rma5uZtKD_3swKwkADIRDeJ3m_ZwYmne8sAOcYXWGExHVECEuUIZw2wSLDR2CKOaaZ4rmcgClSjGYMcXICZjFuECJEEDwFsjUfK7e9gQu4M-XWrC2sfYDp1rVDCxu3tY17876CNvauNb3zHXQdfD4Fx7Vpoj37Oefg9e72ZfmQrZ7uH5eLVVZSJvrM1AUllBRKEJZzTMpcKaGkVJUoDS8I44WsJcPCkDRHpWrEJamozWlFRZkXdA4ux3d3wb8PqYRuXSxt05jO-iFqhYRiOUY8JS8Okhs_hC6V01LInKVFUwiPoTL4GIOt9S6kscKnxkjvTerRpE4m9d6kxokRB0zp-m8TfTCu-ZckIxnTL93aht9Kf0NfxwKGWQ |
| CitedBy_id | crossref_primary_10_3233_MAS_210525 crossref_primary_10_1002_qre_3058 crossref_primary_10_1016_j_jocm_2020_100235 crossref_primary_10_1111_asej_12106 crossref_primary_10_1016_j_jcmds_2023_100077 crossref_primary_10_1016_j_jgg_2023_09_013 crossref_primary_10_3390_axioms11120700 crossref_primary_10_18480_jjae_20_0_18 crossref_primary_10_1080_00949655_2024_2422921 crossref_primary_10_1080_03610918_2025_2464076 crossref_primary_10_3390_axioms12070690 crossref_primary_10_1007_s11135_024_01894_x crossref_primary_10_1016_j_jrras_2023_100573 crossref_primary_10_1080_02331888_2021_2004142 crossref_primary_10_3934_math_2022854 crossref_primary_10_1080_02331888_2019_1619741 crossref_primary_10_1080_02626667_2021_1884685 crossref_primary_10_1016_j_trb_2021_04_001 crossref_primary_10_3390_math10224190 crossref_primary_10_7201_earn_2022_02_03 crossref_primary_10_1007_s10389_016_0754_3 crossref_primary_10_1088_1402_4896_ad6f4a crossref_primary_10_1080_00949655_2022_2127149 crossref_primary_10_1016_j_labeco_2024_102597 crossref_primary_10_1002_bimj_201400118 crossref_primary_10_3390_cancers13092163 crossref_primary_10_1016_j_heliyon_2024_e33598 crossref_primary_10_1002_fut_22048 crossref_primary_10_1016_j_erss_2016_03_006 crossref_primary_10_1007_s42519_025_00433_7 crossref_primary_10_1093_beheco_arv213 crossref_primary_10_1007_s11222_015_9590_5 crossref_primary_10_1080_00949655_2024_2409379 crossref_primary_10_1134_S1995080222120216 crossref_primary_10_1080_16843703_2023_2193771 crossref_primary_10_1016_j_jrras_2025_101434 crossref_primary_10_1007_s10682_016_9848_1 crossref_primary_10_1007_s42519_022_00249_9 crossref_primary_10_3390_math11061331 crossref_primary_10_1080_16843703_2021_1944966 crossref_primary_10_1016_j_reseneeco_2020_101164 crossref_primary_10_1371_journal_pone_0211925 crossref_primary_10_3390_axioms13110749 crossref_primary_10_58683_znwsb_1963 crossref_primary_10_1063_5_0197082 crossref_primary_10_1111_j_1745_9125_2011_00259_x crossref_primary_10_1080_19427867_2023_2205273 crossref_primary_10_1016_j_kjs_2025_100385 crossref_primary_10_2139_ssrn_4186582 crossref_primary_10_3390_sym15061193 crossref_primary_10_1002_sim_8063 crossref_primary_10_1134_S1995080224604910 crossref_primary_10_3390_axioms13010015 crossref_primary_10_3390_sym15071428 crossref_primary_10_1002_qre_2864 crossref_primary_10_1177_13548166241266912 crossref_primary_10_1016_j_jspi_2017_09_005 crossref_primary_10_1016_j_trb_2017_11_004 crossref_primary_10_3390_math11020370 crossref_primary_10_15406_bbij_2017_06_00170 crossref_primary_10_1016_j_ijar_2020_10_011 crossref_primary_10_1029_2020WR029110 crossref_primary_10_1093_qopen_qoad011 crossref_primary_10_1007_s10985_021_09529_1 crossref_primary_10_1016_j_prevetmed_2022_105773 crossref_primary_10_3389_fphar_2023_1255021 crossref_primary_10_1155_2022_3175820 crossref_primary_10_3390_stats6020042 crossref_primary_10_1007_s42081_024_00280_z crossref_primary_10_1080_03610918_2022_2025840 crossref_primary_10_1080_21606544_2016_1167632 crossref_primary_10_3390_sym13112112 crossref_primary_10_1016_j_tra_2019_10_007 crossref_primary_10_1016_j_jrras_2024_101051 crossref_primary_10_1186_s12874_020_01032_9 crossref_primary_10_1007_s00477_024_02839_4 crossref_primary_10_1515_sagmb_2018_0008 crossref_primary_10_1061_JTEPBS_0000053 crossref_primary_10_1080_08974438_2017_1413614 crossref_primary_10_1111_ropr_12410 crossref_primary_10_2139_ssrn_3384096 crossref_primary_10_1002_cjs_11587 crossref_primary_10_1016_j_landusepol_2021_105615 crossref_primary_10_1002_qre_3722 crossref_primary_10_1080_03610918_2021_1963452 crossref_primary_10_3233_MAS_210539 crossref_primary_10_1016_j_jrras_2025_101339 crossref_primary_10_1063_5_0193856 crossref_primary_10_1080_03610926_2015_1024865 crossref_primary_10_1590_1807_01912014202157 crossref_primary_10_1080_03610918_2018_1491988 crossref_primary_10_1080_09644016_2019_1565463 crossref_primary_10_1093_aje_kwad212 crossref_primary_10_1063_5_0175806 crossref_primary_10_32604_cmes_2023_030582 crossref_primary_10_1007_s40847_023_00272_x crossref_primary_10_3390_axioms12040352 crossref_primary_10_1080_10875549_2023_2235347 crossref_primary_10_1002_bimj_202300089 crossref_primary_10_1007_s10260_015_0306_y crossref_primary_10_1007_s11749_018_0594_2 crossref_primary_10_1002_qre_3173 crossref_primary_10_1016_j_kjs_2025_100365 crossref_primary_10_1007_s11116_020_10089_w crossref_primary_10_1016_j_jrras_2024_100898 crossref_primary_10_1080_00949655_2025_2479639 crossref_primary_10_1109_LGRS_2020_3022511 crossref_primary_10_1155_2021_6650237 crossref_primary_10_3390_sym15061278 crossref_primary_10_1080_03050629_2020_1737800 crossref_primary_10_1080_02664763_2022_2120973 crossref_primary_10_1016_j_trb_2019_09_010 crossref_primary_10_3390_sym14091791 crossref_primary_10_1016_j_jrras_2024_101188 crossref_primary_10_1007_s13744_019_00698_1 crossref_primary_10_1016_j_scitotenv_2023_164437 crossref_primary_10_1080_03610926_2016_1222437 crossref_primary_10_4236_ojs_2020_104045 crossref_primary_10_1016_j_matcom_2012_02_010 crossref_primary_10_1038_s41598_019_43796_1 crossref_primary_10_1007_s10742_024_00337_2 crossref_primary_10_2298_FIL2327431O crossref_primary_10_1016_j_jedc_2017_04_004 crossref_primary_10_1007_s00180_020_01044_5 crossref_primary_10_1016_j_ijtst_2019_12_001 crossref_primary_10_1080_19427867_2019_1669000 crossref_primary_10_3390_su13115783 crossref_primary_10_1063_5_0171949 crossref_primary_10_1007_s13171_024_00345_x crossref_primary_10_1215_00031283_7726318 crossref_primary_10_1016_j_jedc_2021_104098 crossref_primary_10_1016_j_tourman_2020_104217 crossref_primary_10_1080_16583655_2022_2046945 crossref_primary_10_1061_JTEPBS_0000566 crossref_primary_10_1002_sim_9756 crossref_primary_10_1016_j_geb_2024_07_001 crossref_primary_10_1007_s41096_021_00097_z crossref_primary_10_1016_j_neucom_2024_128875 crossref_primary_10_1016_j_wace_2021_100344 crossref_primary_10_1080_03610926_2020_1805764 crossref_primary_10_1186_s12955_022_01989_9 crossref_primary_10_2139_ssrn_3033857 crossref_primary_10_1016_j_cageo_2017_11_006 crossref_primary_10_1136_bmjopen_2024_091097 crossref_primary_10_3390_axioms12060565 crossref_primary_10_1016_j_csda_2018_05_017 crossref_primary_10_1063_5_0204228 crossref_primary_10_1080_02827581_2016_1186727 crossref_primary_10_1155_2022_8155929 crossref_primary_10_1088_1402_4896_acf5ad crossref_primary_10_1109_ACCESS_2023_3276904 crossref_primary_10_1093_pnasnexus_pgac095 crossref_primary_10_1007_s00180_021_01065_8 crossref_primary_10_1016_j_jeem_2017_10_003 crossref_primary_10_1016_j_jeem_2021_102475 crossref_primary_10_1038_s41467_021_21888_9 crossref_primary_10_1007_s11069_024_07053_7 crossref_primary_10_15446_rce_v44n1_86566 crossref_primary_10_1016_j_eneco_2018_05_009 crossref_primary_10_1016_j_jhydrol_2024_132009 crossref_primary_10_1080_23249935_2021_1890857 crossref_primary_10_1186_s12955_022_02079_6 crossref_primary_10_1007_s11222_018_9842_2 crossref_primary_10_1007_s00477_021_01989_z crossref_primary_10_1016_j_trb_2024_102985 crossref_primary_10_1080_02664763_2020_1769577 crossref_primary_10_1002_sim_8791 crossref_primary_10_1007_s00180_010_0217_1 crossref_primary_10_1111_emip_12255 crossref_primary_10_3390_rs15092479 crossref_primary_10_1016_j_biocon_2021_109438 crossref_primary_10_1016_j_ejor_2024_01_032 crossref_primary_10_1016_j_jocm_2021_100284 crossref_primary_10_1007_s10260_021_00611_4 crossref_primary_10_1007_s10888_020_09462_7 crossref_primary_10_1371_journal_pone_0293640 crossref_primary_10_3390_axioms12060533 crossref_primary_10_1080_03610926_2023_2262637 crossref_primary_10_1080_03610918_2020_1729807 crossref_primary_10_3390_math10183355 crossref_primary_10_1080_02664763_2015_1077372 crossref_primary_10_1371_journal_pone_0269450 crossref_primary_10_3390_mca25040079 crossref_primary_10_1080_02664763_2023_2230536 crossref_primary_10_1007_s41096_016_0003_7 crossref_primary_10_3934_math_2024823 crossref_primary_10_1016_j_cageo_2012_12_004 crossref_primary_10_3390_f15030499 crossref_primary_10_1155_2023_9662990 crossref_primary_10_1177_0962280220912772 crossref_primary_10_1080_09553002_2020_1829152 crossref_primary_10_3390_sym15091671 crossref_primary_10_1007_s00411_021_00960_4 crossref_primary_10_1080_03610918_2020_1823000 crossref_primary_10_3390_axioms14030219 crossref_primary_10_3390_math10203775 crossref_primary_10_1016_j_tra_2017_08_007 crossref_primary_10_1016_j_leaqua_2023_101733 crossref_primary_10_3103_S1066530723040038 crossref_primary_10_1093_molbev_msx309 crossref_primary_10_1016_j_jenvman_2021_114040 crossref_primary_10_1155_2023_4458562 crossref_primary_10_32604_cmes_2023_023408 crossref_primary_10_1080_01966324_2023_2241089 crossref_primary_10_3390_axioms12020118 crossref_primary_10_3390_land8080122 crossref_primary_10_1080_15598608_2018_1489919 crossref_primary_10_1016_j_trf_2024_12_003 crossref_primary_10_1038_s41598_024_80529_5 crossref_primary_10_1214_22_BJPS544 crossref_primary_10_18187_pjsor_v18i3_3766 crossref_primary_10_1038_s41467_021_26346_0 crossref_primary_10_3390_math11143124 crossref_primary_10_3934_math_2025052 crossref_primary_10_1007_s40271_018_0324_6 crossref_primary_10_1007_s40745_024_00581_w crossref_primary_10_32604_cmes_2024_049188 crossref_primary_10_1002_aepp_13330 crossref_primary_10_1007_s00477_024_02787_z crossref_primary_10_1007_s11116_021_10221_4 crossref_primary_10_1016_j_jrras_2023_100624 crossref_primary_10_1007_s13171_022_00302_6 crossref_primary_10_3390_sym13061067 crossref_primary_10_3390_stats4030038 crossref_primary_10_1016_j_jocm_2019_100170 crossref_primary_10_1080_02664763_2016_1268571 crossref_primary_10_3934_math_20241546 crossref_primary_10_1088_1402_4896_acf1d9 crossref_primary_10_37394_23206_2024_23_34 crossref_primary_10_1016_j_trb_2018_06_007 crossref_primary_10_22237_jmasm_1509496320 crossref_primary_10_1021_acsestwater_4c01127 crossref_primary_10_1080_02664763_2021_2001442 crossref_primary_10_3389_fams_2024_1433767 crossref_primary_10_1016_j_landusepol_2022_106052 crossref_primary_10_3390_sym14112379 crossref_primary_10_3390_sym15091698 crossref_primary_10_1093_mnras_stx1740 crossref_primary_10_3103_S1066530722030012 crossref_primary_10_1080_03610926_2020_1861296 crossref_primary_10_32604_cmes_2024_050606 crossref_primary_10_1080_14659891_2022_2091490 crossref_primary_10_1080_16843703_2022_2071526 crossref_primary_10_2139_ssrn_4578223 crossref_primary_10_1016_j_cam_2022_114106 crossref_primary_10_1140_epjds_s13688_015_0045_1 crossref_primary_10_1016_j_cstp_2020_05_013 crossref_primary_10_1016_j_jretconser_2024_104008 crossref_primary_10_1063_5_0225320 crossref_primary_10_4054_DemRes_2021_44_12 crossref_primary_10_1002_joc_8239 crossref_primary_10_1086_686580 crossref_primary_10_1186_s12544_019_0383_3 crossref_primary_10_1177_10911421221124561 crossref_primary_10_1007_s40314_021_01418_5 crossref_primary_10_15625_2525_2518_18056 crossref_primary_10_3390_math12233703 crossref_primary_10_3390_sym13010117 crossref_primary_10_1016_j_tra_2021_11_019 crossref_primary_10_29220_CSAM_2023_30_5_453 crossref_primary_10_3390_axioms13030152 crossref_primary_10_1002_cmm4_1091 crossref_primary_10_1016_j_heliyon_2024_e26790 crossref_primary_10_1016_j_procs_2019_04_099 crossref_primary_10_1016_j_worlddev_2021_105487 crossref_primary_10_1007_s00477_012_0641_6 crossref_primary_10_1186_s12859_024_05711_y crossref_primary_10_1007_s40745_020_00282_0 crossref_primary_10_1109_ACCESS_2024_3408042 crossref_primary_10_1093_pnasnexus_pgad279 crossref_primary_10_1016_j_ecolmodel_2021_109655 crossref_primary_10_1177_03611981211000357 crossref_primary_10_35741_issn_0258_2724_59_2_23 crossref_primary_10_1155_2014_746769 crossref_primary_10_1016_j_ijheh_2022_114101 crossref_primary_10_1016_j_trb_2020_05_014 crossref_primary_10_1017_S0007485323000159 crossref_primary_10_3390_axioms12050427 crossref_primary_10_1002_sim_6740 crossref_primary_10_1016_j_csda_2014_04_001 crossref_primary_10_1002_wics_1399 crossref_primary_10_3390_sym15030735 crossref_primary_10_3390_sym15122137 crossref_primary_10_3390_math10162901 crossref_primary_10_3390_math11143156 crossref_primary_10_1016_j_insmatheco_2022_09_007 crossref_primary_10_18187_pjsor_v18i4_4149 crossref_primary_10_1080_09553002_2023_2176564 crossref_primary_10_1002_qre_3655 crossref_primary_10_1016_j_compenvurbsys_2018_01_012 crossref_primary_10_3390_stats7020030 crossref_primary_10_3390_sym14071308 crossref_primary_10_3390_e23111394 crossref_primary_10_3934_math_20241172 crossref_primary_10_3390_axioms12060601 crossref_primary_10_37394_23206_2023_22_45 crossref_primary_10_1016_j_jval_2024_06_006 crossref_primary_10_1111_1477_9552_12422 crossref_primary_10_1016_j_watres_2018_12_037 crossref_primary_10_1111_1556_4029_14073 crossref_primary_10_32604_cmes_2024_053255 crossref_primary_10_2139_ssrn_3916303 crossref_primary_10_1007_s00180_022_01239_y crossref_primary_10_1016_j_ijresmar_2024_06_003 crossref_primary_10_1111_poms_12325 crossref_primary_10_1002_bimj_201600063 crossref_primary_10_1080_03610918_2021_2018460 crossref_primary_10_1007_s11223_022_00466_4 crossref_primary_10_1016_j_econ_2019_02_001 crossref_primary_10_1016_j_aej_2024_08_016 crossref_primary_10_3390_sym14102146 crossref_primary_10_3390_sym14040651 crossref_primary_10_52547_jirss_20_1_123 crossref_primary_10_1177_1748006X221146367 crossref_primary_10_3390_su15108186 crossref_primary_10_1007_s11749_019_00658_2 crossref_primary_10_1016_j_jocm_2021_100301 crossref_primary_10_1016_j_ijheh_2022_114080 crossref_primary_10_1016_j_jtrangeo_2014_12_002 crossref_primary_10_1371_journal_pone_0159182 crossref_primary_10_1134_S1995080223110409 crossref_primary_10_3390_axioms12020148 crossref_primary_10_1007_s13198_016_0564_6 crossref_primary_10_1177_0962280218764006 crossref_primary_10_1016_j_aap_2024_107759 crossref_primary_10_1007_s42081_023_00199_x crossref_primary_10_1016_j_ress_2020_107096 crossref_primary_10_3934_math_20231144 crossref_primary_10_1016_j_trb_2016_07_008 crossref_primary_10_1038_s41598_024_69567_1 crossref_primary_10_1016_j_tbs_2024_100877 crossref_primary_10_1007_s10651_022_00537_4 crossref_primary_10_1016_j_jocm_2020_100256 crossref_primary_10_1080_1351847X_2017_1392332 crossref_primary_10_3934_math_20241635 crossref_primary_10_1080_00949655_2024_2344126 crossref_primary_10_3390_axioms11100553 crossref_primary_10_1080_03610926_2019_1676442 crossref_primary_10_1109_ACCESS_2024_3485219 crossref_primary_10_22237_jmasm_1556670000 crossref_primary_10_3390_sym15020348 crossref_primary_10_1155_2022_5830945 crossref_primary_10_3934_math_2024544 crossref_primary_10_1007_s41996_022_00110_y crossref_primary_10_1016_j_ecolecon_2019_04_026 crossref_primary_10_1109_ACCESS_2025_3552486 crossref_primary_10_1155_2024_4848673 crossref_primary_10_3390_axioms12020171 crossref_primary_10_1016_j_jrras_2023_100644 crossref_primary_10_2139_ssrn_4495156 crossref_primary_10_3389_fams_2023_1150921 crossref_primary_10_1080_03610918_2014_915037 crossref_primary_10_1007_s42519_018_0022_7 crossref_primary_10_1080_02331888_2017_1316724 crossref_primary_10_2139_ssrn_4130176 crossref_primary_10_1007_s11123_023_00672_5 crossref_primary_10_3390_axioms11090459 crossref_primary_10_1016_j_wasman_2020_05_026 crossref_primary_10_3390_math10173035 crossref_primary_10_1155_2024_5567457 crossref_primary_10_1002_sta4_663 crossref_primary_10_1080_02664763_2021_1981834 crossref_primary_10_1007_s13171_019_00175_2 crossref_primary_10_32604_csse_2021_014764 crossref_primary_10_3390_math8101776 crossref_primary_10_3390_axioms12070618 crossref_primary_10_1007_s11269_024_03868_y |
| Cites_doi | 10.18637/jss.v027.i07 10.1016/0165-1765(93)90166-A 10.1090/S0025-5718-1970-0274029-X 10.1093/imamat/6.1.76 10.32614/CRAN.package.pglm 10.1090/S0025-5718-1970-0258249-6 10.1093/comjnl/7.4.308 10.1007/s00180-010-0217-1 10.2307/3214721 10.1093/comjnl/13.3.317 |
| ContentType | Journal Article |
| Copyright | Springer-Verlag 2010 Springer-Verlag 2011 |
| Copyright_xml | – notice: Springer-Verlag 2010 – notice: Springer-Verlag 2011 |
| DBID | AAYXX CITATION 3V. 7SC 7TB 7WY 7WZ 7XB 87Z 88I 8AL 8C1 8FD 8FE 8FG 8FK 8FL 8G5 ABJCF ABUWG AFKRA ARAPS AZQEC BENPR BEZIV BGLVJ CCPQU DWQXO FR3 FRNLG FYUFA F~G GHDGH GNUQQ GUQSH HCIFZ JQ2 K60 K6~ K7- KR7 L.- L6V L7M L~C L~D M0C M0N M2O M2P M7S MBDVC P5Z P62 PHGZM PHGZT PJZUB PKEHL PPXIY PQBIZ PQBZA PQEST PQGLB PQQKQ PQUKI PTHSS Q9U |
| DOI | 10.1007/s00180-010-0217-1 |
| DatabaseName | CrossRef ProQuest Central (Corporate) Computer and Information Systems Abstracts Mechanical & Transportation Engineering Abstracts ABI/INFORM Collection ABI/INFORM Global (PDF only) ProQuest Central (purchase pre-March 2016) ABI/INFORM Global (Alumni Edition) Science Database (Alumni Edition) Computing Database (Alumni Edition) Public Health Database (ProQuest) Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ABI/INFORM Collection (Alumni) ProQuest Research Library ProQuest SciTech Premium Collection Technology Collection Materials Science & Engineering Database ProQuest Central ProQuest Central UK/Ireland Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Central Business Premium Collection Technology Collection ProQuest One ProQuest Central Korea Engineering Research Database Business Premium Collection (Alumni) Health Research Premium Collection ABI/INFORM Global (Corporate) Health Research Premium Collection (Alumni) ProQuest Central Student ProQuest Research Library SciTech Premium Collection ProQuest Computer Science Collection ProQuest Business Collection (Alumni Edition) ProQuest Business Collection Computer Science Database Civil Engineering Abstracts ABI/INFORM Professional Advanced ProQuest Engineering Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ABI/INFORM Global Computing Database Research Library (ProQuest) Science Database Engineering Database Research Library (Corporate) Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic (New) ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing Proquest One Business ProQuest One Business (Alumni) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition Engineering Collection ProQuest Central Basic |
| DatabaseTitle | CrossRef ProQuest Business Collection (Alumni Edition) Research Library Prep Computer Science Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ABI/INFORM Complete ProQuest One Applied & Life Sciences Health Research Premium Collection Health & Medical Research Collection ProQuest Central (New) Engineering Collection Advanced Technologies & Aerospace Collection Business Premium Collection ABI/INFORM Global Engineering Database ProQuest Science Journals (Alumni Edition) ProQuest One Academic Eastern Edition ProQuest Technology Collection Health Research Premium Collection (Alumni) ProQuest Business Collection ProQuest One Academic UKI Edition Engineering Research Database ProQuest One Academic ProQuest One Academic (New) ABI/INFORM Global (Corporate) ProQuest One Business Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) Mechanical & Transportation Engineering Abstracts ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing Research Library (Alumni Edition) ProQuest Central ABI/INFORM Professional Advanced ProQuest Health & Medical Research Collection ProQuest Engineering Collection ProQuest Central Korea ProQuest Research Library Advanced Technologies Database with Aerospace ABI/INFORM Complete (Alumni Edition) Civil Engineering Abstracts ProQuest Computing ProQuest Public Health ABI/INFORM Global (Alumni Edition) ProQuest Central Basic ProQuest Science Journals ProQuest Computing (Alumni Edition) ProQuest SciTech Collection Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database Materials Science & Engineering Collection ProQuest One Business (Alumni) ProQuest Central (Alumni) Business Premium Collection (Alumni) |
| DatabaseTitleList | ProQuest Business Collection (Alumni Edition) Civil Engineering Abstracts |
| Database_xml | – sequence: 1 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Statistics Mathematics |
| EISSN | 1613-9658 |
| EndPage | 458 |
| ExternalDocumentID | 2404212091 10_1007_s00180_010_0217_1 |
| Genre | Feature |
| GroupedDBID | -5D -5G -BR -EM -Y2 -~C .86 .VR 06D 0R~ 0VY 199 1N0 203 29F 2J2 2JN 2JY 2KG 2LR 2VQ 2~H 30V 3V. 4.4 406 408 409 40D 40E 53G 5GY 5VS 67Z 6NX 78A 7WY 88I 8C1 8FE 8FG 8FL 8G5 8TC 8UJ 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYZH ABAKF ABBBX ABBXA ABDZT ABECU ABFTV ABHLI ABHQN ABJCF ABJNI ABJOX ABKCH ABKTR ABLJU ABMNI ABMQK ABNWP ABQBU ABQSL ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACGOD ACHSB ACHXU ACIWK ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACSNA ACZOJ ADBBV ADHHG ADHIR ADINQ ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMSY AENEX AEOHA AEPYU AESKC AETLH AEVLU AEXYK AFBBN AFGCZ AFKRA AFLOW AFQWF AFWTZ AFZKB AGAYW AGDGC AGJBK AGMZJ AGQEE AGQMX AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHSBF AHYZX AIAKS AIGIU AIIXL AILAN AITGF AJBLW AJRNO AJZVZ ALIPV ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMXSW AMYLF AMYQR AOCGG ARAPS ARMRJ ASPBG AVWKF AXYYD AYJHY AZFZN AZQEC B-. BA0 BAPOH BDATZ BENPR BEZIV BGLVJ BGNMA BPHCQ BSONS CAG CCPQU COF CS3 CSCUP DDRTE DNIVK DPUIP DU5 DWQXO EBLON EBS EIOEI EJD ESBYG F5P FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRNLG FRRFC FSGXE FWDCC FYUFA GGCAI GGRSB GJIRD GNUQQ GNWQR GQ6 GQ7 GQ8 GROUPED_ABI_INFORM_COMPLETE GUQSH GXS H13 HCIFZ HF~ HG5 HG6 HLICF HMJXF HQYDN HRMNR HVGLF HZ~ H~9 IHE IJ- IKXTQ ITM IWAJR IXC IXE IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K60 K6V K6~ K7- KDC KOV L6V LAS LLZTM M0C M0N M2O M2P M4Y M7S MA- MK~ N2Q N9A NB0 NPVJJ NQJWS NU0 O9- O93 O9J OAM P2P P62 P9R PF0 PQBIZ PQBZA PQQKQ PROAC PT4 PTHSS Q2X QOS R89 R9I RNS ROL RPX RSV S16 S1Z S27 S3B SAP SDH SHX SISQX SJYHP SMT SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 TSG TSK TSV TUC U2A UG4 UKHRP UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 Z7R Z7X Z7Y Z81 Z83 Z88 ZMTXR AAPKM AAYXX ABBRH ABDBE ABFSG ACSTC ADHKG ADKFA AEZWR AFDZB AFHIU AFOHR AGQPQ AHPBZ AHWEU AIXLP AMVHM ATHPR AYFIA CITATION PHGZM PHGZT 7SC 7TB 7XB 8AL 8FD 8FK ABRTQ FR3 JQ2 KR7 L.- L7M L~C L~D MBDVC PJZUB PKEHL PPXIY PQEST PQGLB PQUKI Q9U |
| ID | FETCH-LOGICAL-c347t-afb3232b97245612c59979889d7ca6b246b8f8417a2100d9f0682d3e53d37c5b3 |
| IEDL.DBID | BENPR |
| ISSN | 0943-4062 |
| IngestDate | Wed Jul 30 11:23:42 EDT 2025 Fri Jul 25 18:58:01 EDT 2025 Thu Apr 24 23:00:55 EDT 2025 Tue Jul 01 05:41:31 EDT 2025 Fri Feb 21 02:33:34 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Keywords | Optimization C87 Maximum likelihood |
| Language | English |
| License | http://www.springer.com/tdm |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c347t-afb3232b97245612c59979889d7ca6b246b8f8417a2100d9f0682d3e53d37c5b3 |
| Notes | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 |
| PQID | 878544443 |
| PQPubID | 54096 |
| PageCount | 16 |
| ParticipantIDs | proquest_miscellaneous_907945106 proquest_journals_878544443 crossref_primary_10_1007_s00180_010_0217_1 crossref_citationtrail_10_1007_s00180_010_0217_1 springer_journals_10_1007_s00180_010_0217_1 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 20110900 2011-9-00 20110901 |
| PublicationDateYYYYMMDD | 2011-09-01 |
| PublicationDate_xml | – month: 9 year: 2011 text: 20110900 |
| PublicationDecade | 2010 |
| PublicationPlace | Berlin/Heidelberg |
| PublicationPlace_xml | – name: Berlin/Heidelberg – name: Heidelberg |
| PublicationTitle | Computational statistics |
| PublicationTitleAbbrev | Comput Stat |
| PublicationYear | 2011 |
| Publisher | Springer-Verlag Springer Nature B.V |
| Publisher_xml | – name: Springer-Verlag – name: Springer Nature B.V |
| References | Croissant Y (2010) pglm: panel generalized linear model. R package version 0.1. http://CRAN.R-project.org/package=pglm GoldfarbDA family of variable metric updates derived by variational meansMath Comput19702423262582490196.1800210.1090/S0025-5718-1970-0258249-6 BélisleCJPConvergence theorems for a class of simulated annealing algorithms on RdJ Appl Probab19922988589511885440765.6505910.2307/3214721 NelderJAMeadRA simplex algorithm for function minimizationComput J196573083130229.65053 ShannoDFConditioning of quasi-newton methods for function minimizationMath Comput19702464765627402910.1090/S0025-5718-1970-0274029-X Gay DM (1990) Usage summary for selected optimization routines. Computing science technical report 153, AT&T Bell Laboratories. http://netlib.bell-labs.com/cm/cs/cstr/153.pdf Henningsen A, Toomet O (2010) miscTools: miscellanneous small tools and utilities. R package version 0.6. http://cran.r-project.org/package=miscTools BerndtEKHallBHHallREHausmanJAEstimation and inference in nonlinear structural modelsAnnalysis Soc Meas197434653665 Toomet O, Henningsen A (2010) maxLik: tools for maximum likelihood estimation. R package version 1.0. http://CRAN.R-project.org/package=maxLik Croissant Y (2009) truncreg: truncated regression models. http://CRAN.R-project.org/package=truncreg. R package version 0.1 Ardia D, Mullen K (2010) DEoptim: global optimization by differential evolution. http://CRAN.R-project.org/package=DEoptim. R package version 2.0–4 Henningsen A (2010) censReg: censored regression (Tobit) models. R package version 0.5. http://CRAN.R-project.org/package=censReg BroydenCGThe convergence of a class of double-rank minimization algorithmsJ Inst Math Appl1970676904338700223.6502310.1093/imamat/6.1.76 Carlevaro F, Croissant Y, Hoareau S (2010) mhurdle: estimation of models with limited dependent variables. R package version 0.1. http://CRAN.R-project.org/package=mhurdle Sevcikova H, Raftery A (2010) mlogitBMA: Bayesian Model Averaging for Multinomial Logit Models. http://CRAN.R-project.org/package=mlogitBMA. R package version 0.1-2 R Development Core Team (2009) R: A language and environment for statistical computing. R foundation for statistical computing. Vienna, Austria. http://www.R-project.org, ISBN 3-900051-07-0 ToometOHenningsenASample selection models in R: package sampleSelectionJ Stat Softw2008277123 Nielsen HB, Mortensen SB (2009) ucminf: general-purpose unconstrained non-linear optimization. http://CRAN.R-project.org/package=ucminf. R package version 1.0 GreeneWHEconometric analysis20086Englewood CliffsPrentice Hall Bolker B (2009) bbmle: Tools for general maximum likelihood estimation. http://CRAN.R-project.org/package=bbmle. R package version 0.9.3 CalzolariGFiorentiniGAlternative covariance estimators of the standard tobit modelEcon Lett19934215130800.6277010.1016/0165-1765(93)90166-A FletcherRA new approach to variable metric algorithmsComput J1970133173220207.1740210.1093/comjnl/13.3.317 JA Nelder (217_CR16) 1965; 7 D Goldfarb (217_CR12) 1970; 24 R Fletcher (217_CR10) 1970; 13 WH Greene (217_CR13) 2008 217_CR7 217_CR8 CG Broyden (217_CR5) 1970; 6 217_CR9 G Calzolari (217_CR6) 1993; 42 EK Berndt (217_CR3) 1974; 3 217_CR1 217_CR21 217_CR4 217_CR11 217_CR22 217_CR14 DF Shanno (217_CR20) 1970; 24 217_CR15 CJP Bélisle (217_CR2) 1992; 29 217_CR18 217_CR17 217_CR19 |
| References_xml | – reference: BerndtEKHallBHHallREHausmanJAEstimation and inference in nonlinear structural modelsAnnalysis Soc Meas197434653665 – reference: GreeneWHEconometric analysis20086Englewood CliffsPrentice Hall – reference: Henningsen A, Toomet O (2010) miscTools: miscellanneous small tools and utilities. R package version 0.6. http://cran.r-project.org/package=miscTools – reference: BélisleCJPConvergence theorems for a class of simulated annealing algorithms on RdJ Appl Probab19922988589511885440765.6505910.2307/3214721 – reference: FletcherRA new approach to variable metric algorithmsComput J1970133173220207.1740210.1093/comjnl/13.3.317 – reference: Carlevaro F, Croissant Y, Hoareau S (2010) mhurdle: estimation of models with limited dependent variables. R package version 0.1. http://CRAN.R-project.org/package=mhurdle – reference: R Development Core Team (2009) R: A language and environment for statistical computing. R foundation for statistical computing. Vienna, Austria. http://www.R-project.org, ISBN 3-900051-07-0 – reference: Gay DM (1990) Usage summary for selected optimization routines. Computing science technical report 153, AT&T Bell Laboratories. http://netlib.bell-labs.com/cm/cs/cstr/153.pdf – reference: Toomet O, Henningsen A (2010) maxLik: tools for maximum likelihood estimation. R package version 1.0. http://CRAN.R-project.org/package=maxLik – reference: ToometOHenningsenASample selection models in R: package sampleSelectionJ Stat Softw2008277123 – reference: Croissant Y (2010) pglm: panel generalized linear model. R package version 0.1. http://CRAN.R-project.org/package=pglm – reference: GoldfarbDA family of variable metric updates derived by variational meansMath Comput19702423262582490196.1800210.1090/S0025-5718-1970-0258249-6 – reference: Nielsen HB, Mortensen SB (2009) ucminf: general-purpose unconstrained non-linear optimization. http://CRAN.R-project.org/package=ucminf. R package version 1.0 – reference: Croissant Y (2009) truncreg: truncated regression models. http://CRAN.R-project.org/package=truncreg. R package version 0.1 – reference: Henningsen A (2010) censReg: censored regression (Tobit) models. R package version 0.5. http://CRAN.R-project.org/package=censReg – reference: Ardia D, Mullen K (2010) DEoptim: global optimization by differential evolution. http://CRAN.R-project.org/package=DEoptim. R package version 2.0–4 – reference: Bolker B (2009) bbmle: Tools for general maximum likelihood estimation. http://CRAN.R-project.org/package=bbmle. R package version 0.9.3 – reference: NelderJAMeadRA simplex algorithm for function minimizationComput J196573083130229.65053 – reference: BroydenCGThe convergence of a class of double-rank minimization algorithmsJ Inst Math Appl1970676904338700223.6502310.1093/imamat/6.1.76 – reference: ShannoDFConditioning of quasi-newton methods for function minimizationMath Comput19702464765627402910.1090/S0025-5718-1970-0274029-X – reference: CalzolariGFiorentiniGAlternative covariance estimators of the standard tobit modelEcon Lett19934215130800.6277010.1016/0165-1765(93)90166-A – reference: Sevcikova H, Raftery A (2010) mlogitBMA: Bayesian Model Averaging for Multinomial Logit Models. http://CRAN.R-project.org/package=mlogitBMA. R package version 0.1-2 – ident: 217_CR4 – ident: 217_CR21 doi: 10.18637/jss.v027.i07 – volume: 42 start-page: 5 issue: 1 year: 1993 ident: 217_CR6 publication-title: Econ Lett doi: 10.1016/0165-1765(93)90166-A – volume: 24 start-page: 647 year: 1970 ident: 217_CR20 publication-title: Math Comput doi: 10.1090/S0025-5718-1970-0274029-X – volume: 6 start-page: 76 year: 1970 ident: 217_CR5 publication-title: J Inst Math Appl doi: 10.1093/imamat/6.1.76 – ident: 217_CR9 doi: 10.32614/CRAN.package.pglm – ident: 217_CR11 – volume: 24 start-page: 23 year: 1970 ident: 217_CR12 publication-title: Math Comput doi: 10.1090/S0025-5718-1970-0258249-6 – volume: 3 start-page: 653 issue: 4 year: 1974 ident: 217_CR3 publication-title: Annalysis Soc Meas – ident: 217_CR8 – ident: 217_CR1 – volume: 7 start-page: 308 year: 1965 ident: 217_CR16 publication-title: Comput J doi: 10.1093/comjnl/7.4.308 – ident: 217_CR19 – ident: 217_CR7 – ident: 217_CR15 – ident: 217_CR18 – volume-title: Econometric analysis year: 2008 ident: 217_CR13 – ident: 217_CR17 – ident: 217_CR22 doi: 10.1007/s00180-010-0217-1 – ident: 217_CR14 – volume: 29 start-page: 885 year: 1992 ident: 217_CR2 publication-title: J Appl Probab doi: 10.2307/3214721 – volume: 13 start-page: 317 year: 1970 ident: 217_CR10 publication-title: Comput J doi: 10.1093/comjnl/13.3.317 |
| SSID | ssj0022721 |
| Score | 2.4399474 |
| Snippet | This paper describes the package
maxLik
for the statistical environment R. The package is essentially a unified wrapper interface to various optimization... Issue Title: Special Issue: Proceedings of DSC 2009 This paper describes the package maxLik for the statistical environment R. The package is essentially a... This paper describes the package maxLik for the statistical environment R. The package is essentially a unified wrapper interface to various optimization... |
| SourceID | proquest crossref springer |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 443 |
| SubjectTerms | Algorithms Computation Economic Theory/Quantitative Economics/Mathematical Methods Freeware Mathematics and Statistics Maximum likelihood estimation Maximum likelihood method Methods Normal distribution Optimization Optimization algorithms Original Paper Packages Probability and Statistics in Computer Science Probability Theory and Stochastic Processes Routines Software Software packages Standard error Statistics Studies |
| SummonAdditionalLinks | – databaseName: SpringerLink Journals (ICM) dbid: U2A link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA4yL_MgOhXrVHLwpBTapGkab0McIs6DONgtJGkKZVsndgP_fF_6aygqWOilTVJ4eU3el_fe9xC6EhVNGwdsQq3xI5YSX6Qm9C3VNiFaaFbRNU2e44dp9DhjsyaPu2yj3VuXZLVSd8lurn6cC6KCG-xoHyDPLnPQHZR4SkYdyiK8SrZyEXMAjmLSujJ_GuLrZrS1ML85Rau9ZnyA9hsjEY_qWT1EO7YYoL1Jx7BaDlDfWYk1yfIRSpbq4ymf3-IRBgg8hyUCgy2K4Wm-3CzxIp_bRe74i7Hj1KiTFXFe4JdjNB3fv949-E1JBN_QiK99lWkKNpAW3DksQ2KYEI5xTKTcqFiTKNZJlkQhVwDlglRkQZyQlFpGU8oN0_QE9YpVYU8RVsxSE7NMEWIiYVw_LlTAstQVt8ush4JWNtI0fOGubMVCdkzHlTgliFM6ccrQQ9ddl7eaLOOvxsNW4LL5b0qZ8IRFcFEP4e4tKLzzYqjCrjalBDQvIlCw2EM37TRtB_j1c2f_aj1E_frw2AWTnaPe-n1jL8D6WOvLSts-AVZdzNY priority: 102 providerName: Springer Nature |
| Title | maxLik: A package for maximum likelihood estimation in R |
| URI | https://link.springer.com/article/10.1007/s00180-010-0217-1 https://www.proquest.com/docview/878544443 https://www.proquest.com/docview/907945106 |
| Volume | 26 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3fa9swED7W5mV7KO26sbRd0MOeWkxtybKkvQyv5AdrE0poIHsyliyDSeJ0SwL783dybJcWWoP9IFsSnOTTfbrTdwDfVEXTJhCbMGu8kGfUU5kJPMu0lVQrzSu6pvEkGs3CX3M-r2NzNnVYZaMTK0WdrY3bI7-WQvIQL_bj8Y_nkkY552qdQeMAOqiBJWKvzs_-5H7aIi4qqoNXLnoOgVJEG7emX7GIBtLFZOGNZrkXPF-YnqzNFw7Sat0ZHMNRbTCSeD_CJ_DOlh_hw7hlW92cglyl_-6KxXcSE0TAC9QQBE1RgqXFarciy2Jhl4WjLyaOUmN_VpEUJZl-gtmg_3Az8uqMCJ5hodh6aa4ZmkBaCeevDKjhSjnCMZUJk0aahpGWuQwDkSKS8zOV-5GkGbOcZUwYrtlnOCzXpf0CJOWWmYjnKaUmVMbVEyr1eZ653Ha57YLfiCMxNV24y1qxTFqi40qCCUowcRJMgi5ctlUe91wZb3183sg4qX-bTdIOchdI-xbnu3NipKVd7zYJgnkV4vyKunDVjMxTA692d_Zmd-fwfr9X7GLHLuBw-3dnv6KxsdU9OJA3gXsOhj3oxMPft_1ePc2wdEbj_y3l0XM |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VcgAOFU91KQ8f4AKKSOw4tpEQqoBlS3d7QK3Um4kdR4p2N1vYXRV-VP9jZ5JNKpDorZFySeJYGo_H83nG3wC8Mg1Nm0JsIoKPUlnwyBQ-iYJwQXNnnGzomiZH2egk_XYqT7fgojsLQ2mVnU1sDHWx8LRH_k4rLVO8xMeznxEVjaLgaldBo9WKw_DnHBHb8sPBZxze15wPvxx_GkWbogKRF6laRXnpBHoRzigK-SXcS2OIs8sUyueZ42nmdKnTROUIhuLClHGmeSGCFIVQXjqB_70Ft1MhDE0oPfza4zuummNelKuHsCzjXRA1bjhLE00ZYHgjCIiSv5fBK9_2n3Bss8oN78POxj1l-60-PYCtUD-Ee5Oe23X5CPQ8_z2upu_ZPkO8PUV7xNDxZfi0mq_nbFZNw6wismRGBB7tyUhW1ez7Yzi5EVE9ge16UYddYLkMwmeyzDn3qfHUTpk8lmVBlfTKMIC4E4f1G3JyqpExsz2tciNBixK0JEGbDOBN3-SsZea47uO9TsZ2M0mXtlepAbD-Lc4uCpnkdVisl9bEaK9Qm7MBvO1G5uoH_-3u6bXdvYQ7o-PJ2I4Pjg734G67S01Za89ge_VrHZ6jm7NyLxrlYvDjprX5EtBvBt4 |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1La9wwEB7SFEpzCOmLbNI0OrSXFhNbsiyrUEpIsuRNKQ3kplqyDGZ3vWl3l7Q_Lf8uM36FFpJbDL5YlgSj0WhGM_MNwHtdw7QptE2Ed0Escx7o3EWBF9an3Gora7ims_Pk8CI-vpSXS3DT5cJQWGUnE2tBnU8d3ZHvpCqVMT5ip2ijIr7tD79e_QqogBQ5WrtqGg2HnPi_12i9zb4c7eNSf-B8ePBj7zBoCwwETsRqHmSFFahRWK3I_RdxJ7Um_C6dK5cllseJTYs0jlSGhlGY6yJMUp4LL0UulJNW4LhP4KkSeMxSkvpeH13CuapTvihuD020hHcO1bDGL41SigbDFw2CIPr3SLzTc_9zzdYn3nANVltVle02vPUClnz1ElbOepzX2StIJ9mf03L0me0ytL1HKJsYKsEMv5aTxYSNy5EflwSczAjMo8mSZGXFvr-Gi0ch1RtYrqaVXweWSS9cIouMcxdrR_2UzkJZ5FRVr_ADCDtyGNcClVO9jLHpIZZrChqkoCEKmmgAH_suVw1Kx0M_b3Y0Nu2GnZmevQbA-lbcaeQ-ySo_XcyMDlF2IWcnA_jUrczdAPdOt_HgdNvwDPnYnB6dn2zC8-bCmgLY3sLy_PfCb6HGM7fvat5i8POxmfkW61wK3w |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=maxLik%3A+A+package+for+maximum+likelihood+estimation+in+R&rft.jtitle=Computational+statistics&rft.au=Henningsen%2C+Arne&rft.au=Toomet%2C+Ott&rft.date=2011-09-01&rft.issn=0943-4062&rft.eissn=1613-9658&rft.volume=26&rft.issue=3&rft.spage=443&rft.epage=458&rft_id=info:doi/10.1007%2Fs00180-010-0217-1&rft.externalDBID=n%2Fa&rft.externalDocID=10_1007_s00180_010_0217_1 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0943-4062&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0943-4062&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0943-4062&client=summon |