On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring
In this article, we propose two goodness-of-fit test statistics for the Burr Type X distribution when the available data are subject to progressively Type-II censoring. The proposed test statistics are based on the sample correlation coefficient between the Kaplan-Meier estimator of the survival fun...
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Published in | Computational statistics Vol. 37; no. 5; pp. 2249 - 2265 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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Berlin/Heidelberg
Springer Berlin Heidelberg
01.11.2022
Springer Nature B.V |
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Abstract | In this article, we propose two goodness-of-fit test statistics for the Burr Type X distribution when the available data are subject to progressively Type-II censoring. The proposed test statistics are based on the sample correlation coefficient between the Kaplan-Meier estimator of the survival function and the lifetime data and also based on the correlation between the Nelson-Aalen estimator of the cumulative hazard function and the lifetime data. The new tests exhibit good performance in terms of power in compare to the EDF-based test statistics of Pakyari and Balakrishnan (IEEE Trans Reliab 61:238–242, 2012). The maximum likelihood estimator of the unknown Burr Type X model is also studied and an approximate estimator is given. Finally, two real datasets are analyzed for illustrative purposes. |
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AbstractList | In this article, we propose two goodness-of-fit test statistics for the Burr Type X distribution when the available data are subject to progressively Type-II censoring. The proposed test statistics are based on the sample correlation coefficient between the Kaplan-Meier estimator of the survival function and the lifetime data and also based on the correlation between the Nelson-Aalen estimator of the cumulative hazard function and the lifetime data. The new tests exhibit good performance in terms of power in compare to the EDF-based test statistics of Pakyari and Balakrishnan (IEEE Trans Reliab 61:238–242, 2012). The maximum likelihood estimator of the unknown Burr Type X model is also studied and an approximate estimator is given. Finally, two real datasets are analyzed for illustrative purposes. |
Author | Baklizi, Ayman Pakyari, Reza |
Author_xml | – sequence: 1 givenname: Reza orcidid: 0000-0002-9777-105X surname: Pakyari fullname: Pakyari, Reza email: rpakyari@qu.edu.qa organization: Statistics Program, Department of Mathematics, Statistics and Physics, College of Arts and Sciences, Qatar University – sequence: 2 givenname: Ayman surname: Baklizi fullname: Baklizi, Ayman organization: Statistics Program, Department of Mathematics, Statistics and Physics, College of Arts and Sciences, Qatar University |
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CitedBy_id | crossref_primary_10_1016_j_jrras_2024_101107 crossref_primary_10_1007_s00180_023_01343_7 crossref_primary_10_15672_hujms_1210270 crossref_primary_10_3390_sym17030363 crossref_primary_10_3389_fams_2023_1113477 |
Cites_doi | 10.6028/jres.057.033 10.1109/TR.2011.2162470 10.1111/1467-842X.00072 10.1080/03610929108830633 10.1080/0094965021000033530 10.1080/03610918.2014.917673 10.1023/A:1011352923990 10.1080/00949655.2011.625424 10.1002/9781119427605 10.1080/10629360600944266 10.1109/TR.2004.833317 10.1214/aoms/1177731607 10.1007/978-1-4612-0103-8_8 10.1109/TR.2012.2182811 10.1080/14786440009463897 10.1080/03610918.2016.1248569 10.1016/S0898-1221(98)00143-6 10.1016/0026-2714(94)00056-T 10.1080/00401706.1963.10490102 10.1016/j.jspi.2003.10.003 10.1080/03610918.2021.1930052 10.1016/j.spl.2015.07.029 10.1016/S0378-3758(97)00038-4 10.1080/00949655.2019.1648468 10.1007/978-1-4612-1334-5 10.1007/s11749-007-0061-y 10.1109/TR.2007.895308 10.1016/j.jksus.2017.05.007 10.1016/j.cam.2019.112557 10.1016/B978-0-12-076948-3.50014-6 10.1080/03610918.2015.1069347 10.1007/978-0-8176-4807-7 10.1186/s40064-016-2271-9 10.1007/978-1-4612-0103-8 |
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Keywords | Correlation coefficient Nelson-Aalen estimate Progressive Type-II censoring Exponential distribution Kalpan–Meier estimate Burr distribution Cumulative hazard function Goodness-of-fit testing Monte Carlo simulation |
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Snippet | In this article, we propose two goodness-of-fit test statistics for the Burr Type X distribution when the available data are subject to progressively Type-II... |
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SubjectTerms | Correlation coefficients Economic Theory/Quantitative Economics/Mathematical Methods Goodness of fit Mathematics and Statistics Maximum likelihood estimators Monte Carlo simulation Original Paper Probability and Statistics in Computer Science Probability Theory and Stochastic Processes Statistical tests Statistics Survival analysis |
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Title | On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring |
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