Methods for Assessing Curvature and Interaction in Mixture Experiments

The terms curvature and interaction traditionally are not defined or used in the context of mixture experiments because curvature and interaction effects are partially confounded due to the mixture constraint that the component proportions sum to 1. Instead, the term nonlinear blending traditionally...

Full description

Saved in:
Bibliographic Details
Published inTechnometrics Vol. 44; no. 2; pp. 161 - 172
Main Authors Piepel, Greg F, Hicks, Ruel D, Szychowski, Jeff M, Loeppky, Jason L
Format Journal Article
LanguageEnglish
Published Taylor & Francis 01.05.2002
The American Society for Quality and The American Statistical Association
Subjects
Online AccessGet full text
ISSN0040-1706
1537-2723
DOI10.1198/004017002317375118

Cover

Loading…
Abstract The terms curvature and interaction traditionally are not defined or used in the context of mixture experiments because curvature and interaction effects are partially confounded due to the mixture constraint that the component proportions sum to 1. Instead, the term nonlinear blending traditionally is defined and used. However, just as the concept of a component effect is defined specifically for mixture experiments, the concepts of curvature and interaction can be also. These special definitions lead to special sets of points for assessing the curvature and interaction of mixture components. An interaction plot for mixture components is obtained by plotting measured or predicted response values at the special points for assessing interaction. Together with response trace (component effects) plots, the new mixture component interaction plots provide for graphically assessing the linear, curvature, and interaction effects of mixture components. These methods provide a more complete picture of how mixture components affect a response, which is useful in formulating mixtures and confirming or extending subject matter knowledge. The special sets of points and the graphical techniques used to assess linear, curvature, and interaction effects are illustrated using two nuclear waste glass examples.
AbstractList The terms curvature and interaction traditionally are not defined or used in the context of mixture experiments because curvature and interaction effects are partially confounded due to the mixture constraint that the component proportions sum to 1. Instead, the term nonlinear blending traditionally is defined and used. However, just as the concept of a component effect is defined specifically for mixture experiments, the concepts of curvature and interaction can be also. These special definitions lead to special sets of points for assessing the curvature and interaction of mixture components. An interaction plot for mixture components is obtained by plotting measured or predicted response values at the special points for assessing interaction. Together with response trace (component effects) plots, the new mixture component interaction plots provide for graphically assessing the linear, curvature, and interaction effects of mixture components. These methods provide a more complete picture of how mixture components affect a response, which is useful in formulating mixtures and confirming or extending subject matter knowledge. The special sets of points and the graphical techniques used to assess linear, curvature, and interaction effects are illustrated using two nuclear waste glass examples.
Author Piepel, Greg F
Szychowski, Jeff M
Hicks, Ruel D
Loeppky, Jason L
Author_xml – sequence: 1
  givenname: Greg F
  surname: Piepel
  fullname: Piepel, Greg F
– sequence: 2
  givenname: Ruel D
  surname: Hicks
  fullname: Hicks, Ruel D
– sequence: 3
  givenname: Jeff M
  surname: Szychowski
  fullname: Szychowski, Jeff M
– sequence: 4
  givenname: Jason L
  surname: Loeppky
  fullname: Loeppky, Jason L
BookMark eNp9kM1OAjEcxBuDiYC-gPHQF1jt57YcPBAiSgLxoudN6f5XS5aWtEXh7V3ExEQTTnOY-U0mM0A9HzwgdE3JLaUjfUeIIFQRwjhVXElK9RnqU8lVwRTjPdQ_BIouUV6gQUorQihnWvXRdAH5PdQJNyHicUqQkvNveLKNHyZvI2DjazzzGaKx2QWPnccLt_u2HnYbiG4NPqdLdN6YNsHVjw7R6_ThZfJUzJ8fZ5PxvLBc6FwY0EpK200ExhUjnAKQmnFQojSSARGm1Haky8ZyzUFIWWpNl7IWbKQFW_Ih0sdeG0NKEZrKumwOw3I0rq0oqQ5_VP__6FD2B910403cn4ZujtAq5RB_CaYoK0ln3x9t57v_1uYzxLaustm3ITbReOtSxU_UfwE5eX83
CitedBy_id crossref_primary_10_1080_00401706_2012_727751
crossref_primary_10_1016_j_egypro_2013_07_140
Cites_doi 10.1557/PROC-465-71
10.1111/j.2517-6161.1961.tb00401.x
10.1080/00224065.1997.11979752
10.1093/biomet/72.1.153
10.2307/1267575
10.1111/j.2517-6161.1958.tb00299.x
10.1111/j.1151-2916.1997.tb03230.x
10.1093/biomet/58.1.155
ContentType Journal Article
Copyright American Statistical Association and the American Society for Quality 2002
Copyright 2002 The American Statistical Association and the American Society for Quality
Copyright_xml – notice: American Statistical Association and the American Society for Quality 2002
– notice: Copyright 2002 The American Statistical Association and the American Society for Quality
DBID AAYXX
CITATION
DOI 10.1198/004017002317375118
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList

DeliveryMethod fulltext_linktorsrc
Discipline Engineering
Statistics
Mathematics
EISSN 1537-2723
EndPage 172
ExternalDocumentID 10_1198_004017002317375118
1271260
10713428
Genre Article
GroupedDBID -ET
-~X
.-4
..I
.7F
.DC
.QJ
07G
0BK
0R~
123
29Q
2AX
30N
3R3
3V.
4.4
5RE
7WY
85S
88I
8AO
8C1
8FE
8FG
8FL
96U
AAENE
AAJMT
AAKYL
AALDU
AAMIU
AAPUL
AAQRR
ABBHK
ABCCY
ABEHJ
ABFAN
ABFIM
ABJCF
ABJNI
ABLIJ
ABPAQ
ABPEM
ABPPZ
ABQDR
ABTAI
ABUWG
ABXSQ
ABXUL
ABXYU
ABYWD
ACAGQ
ACBEA
ACDIW
ACGFO
ACGFS
ACGOD
ACIWK
ACMTB
ACNCT
ACTIO
ACTMH
ADBBV
ADCVX
ADGTB
ADODI
ADULT
AEGXH
AEISY
AELLO
AELPN
AENEX
AEOZL
AEPSL
AEUPB
AEYOC
AFAZI
AFKRA
AFVYC
AGDLA
AGMYJ
AGROQ
AHDZW
AHMOU
AIAGR
AIJEM
AKBRZ
AKBVH
AKOOK
ALCKM
ALIPV
ALMA_UNASSIGNED_HOLDINGS
ALQZU
ALRMG
AMEWO
AMXXU
AQRUH
AVBZW
AWYRJ
AZQEC
BCCOT
BENPR
BEZIV
BGLVJ
BHOJU
BLEHA
BPHCQ
BPLKW
C06
CCCUG
CCPQU
CRFIH
CS3
DGEBU
DKSSO
DMQIW
DQDLB
DSRWC
DU5
DWIFK
DWQXO
EBS
ECEWR
EJD
E~A
E~B
F5P
FEDTE
FRNLG
FYUFA
GIFXF
GNUQQ
GROUPED_ABI_INFORM_COMPLETE
GTTXZ
H13
HCIFZ
HQ6
HVGLF
HZ~
H~P
IAO
IEA
IGG
IOF
IPSME
J.P
JAA
JAAYA
JBMMH
JBZCM
JENOY
JHFFW
JKQEH
JLEZI
JLXEF
JMS
JPL
JSODD
JST
K60
K6~
KYCEM
L6V
M0C
M2P
M4Z
M7S
MS~
MW2
N95
NA5
NY~
O9-
P2P
PQBIZ
PQBZA
PQQKQ
PROAC
PTHSS
QCRFL
RNANH
ROSJB
RTWRZ
RWL
S-T
S0X
SA0
SNACF
TAE
TAQ
TBQAZ
TDBHL
TEJ
TFL
TFT
TFW
TN5
TOXWX
TTHFI
TUROJ
U5U
UAP
UB9
UKHRP
UT5
UU3
VOH
WH7
WZA
XOL
YHZ
YNT
YXB
ZCG
ZE2
ZGOLN
~02
~S~
AAGDL
AAHIA
AAWIL
ABAWQ
ACHJO
ADYSH
AFRVT
AGLNM
AIHAF
AIYEW
AMPGV
PHGZM
PHGZT
.GJ
41~
AAAVZ
AAIKQ
AAKBW
AAYJJ
AAYXX
ABEFU
ACGEE
AEUMN
AGCQS
AGLEN
AMATQ
AMVHM
BES
CITATION
HFX
HF~
HGD
I-F
IHF
IPNFZ
IVXBP
LJTGL
MVM
NHB
NUSFT
RIG
TFMCV
YYP
ZXP
ZY4
ID FETCH-LOGICAL-c348t-ae8755c737e2372031ee0d23e746a52e04a68c986fc383e4556881b5d429842b3
ISSN 0040-1706
IngestDate Tue Jul 01 01:48:41 EDT 2025
Thu Apr 24 23:07:46 EDT 2025
Thu Jun 19 15:03:05 EDT 2025
Wed Dec 25 09:05:29 EST 2024
IsPeerReviewed true
IsScholarly true
Issue 2
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c348t-ae8755c737e2372031ee0d23e746a52e04a68c986fc383e4556881b5d429842b3
PageCount 12
ParticipantIDs crossref_citationtrail_10_1198_004017002317375118
crossref_primary_10_1198_004017002317375118
informaworld_taylorfrancis_310_1198_004017002317375118
jstor_primary_1271260
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2002-05-01
PublicationDateYYYYMMDD 2002-05-01
PublicationDate_xml – month: 05
  year: 2002
  text: 2002-05-01
  day: 01
PublicationDecade 2000
PublicationTitle Technometrics
PublicationYear 2002
Publisher Taylor & Francis
The American Society for Quality and The American Statistical Association
Publisher_xml – name: Taylor & Francis
– name: The American Society for Quality and The American Statistical Association
References Mika M. (p_5) 1997; 465
p_2
p_3
Piepel G. F. (p_9) 2000
Scheffé H. (p_13) 1961; 23
p_8
p_10
Scheffé H. (p_12) 1958; 20
Smith W. F. (p_14) 1997; 29
References_xml – volume: 465
  start-page: 71
  year: 1997
  ident: p_5
  publication-title: Materials Research Society Symposium Proceedings
  doi: 10.1557/PROC-465-71
– volume: 23
  start-page: 171
  year: 1961
  ident: p_13
  publication-title: Journal of the Royal Statistical Society, B
  doi: 10.1111/j.2517-6161.1961.tb00401.x
– volume: 29
  start-page: 211
  year: 1997
  ident: p_14
  publication-title: Journal of Quality Technology
  doi: 10.1080/00224065.1997.11979752
– ident: p_3
  doi: 10.1093/biomet/72.1.153
– ident: p_8
  doi: 10.2307/1267575
– volume: 20
  start-page: 344
  year: 1958
  ident: p_12
  publication-title: Journal of the Royal Statistical Society, B
  doi: 10.1111/j.2517-6161.1958.tb00299.x
– ident: p_10
  doi: 10.1111/j.1151-2916.1997.tb03230.x
– year: 2000
  ident: p_9
  publication-title: PNNL-SA-33173, Rev. 0, Pacific Northwest National Laboratory, Richland, WA.
– ident: p_2
  doi: 10.1093/biomet/58.1.155
SSID ssj0013287
Score 1.6313668
Snippet The terms curvature and interaction traditionally are not defined or used in the context of mixture experiments because curvature and interaction effects are...
SourceID crossref
jstor
informaworld
SourceType Enrichment Source
Index Database
Publisher
StartPage 161
SubjectTerms Chemical composition
Curvature
Decimals
Factorial design
Geometric lines
Glass
Mixture component effects
Mixture component interactions
Mixture interaction plot
Modeling
Nuclear waste
Nuclear waste glass examples
Parallel lines
Spinel
Title Methods for Assessing Curvature and Interaction in Mixture Experiments
URI https://www.tandfonline.com/doi/abs/10.1198/004017002317375118
https://www.jstor.org/stable/1271260
Volume 44
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NT9swFLc6uLDDtPGhMbbJh92qbInt2M5xmkAVomgHkLhFrutIESxUkArEX8_zRxJ3BTR2idq0sZW8F_t9_n4IfZvzmTBSsUSq1CRM5jJRqhJJThUXqSZEuiax6SmfnLPji_xiNFrG3SXt7Lt-eLKv5H-kCudArrZL9hWS7QeFE_AZ5AtHkDAc_0nGU0f_7BAVxj5767L4Sxtn7RIDLuQXCMHrZjyt791Phz2y_21sn_pI-x9LszVUwf-uzcIn821Hy1ALPKn1pQ_ULM1VVDr8YNfUu0CI7TLIfXjn5NosFj5ce6ws-eHJStiBDEV-3VJqk8IiDTjW3eopEiJ8A3G3vHp4x6BGJForM4_CHrbdzDP4rK_ohetSgNkskiBYo4IK6xUN-1eXs_9rW-uLDZ2bU8hyfYw3aJOAd2EZP2h6GiWfpOiKLe0ddr1WhfyxPsaKPbOCdrta4erslbP36F1wNPBPrzUf0Mg02-htBD8J36Y9Zu_tNtqyfoeH7d5BR0G1MEyEe9XCvWphUC0cqRauGxxUC0eqtYvOjw7Pfk2SQLmRaMpkmygD_muu4d4MsfxFNDMmnRNqBOMqJyZliktdSF5pKqlhFr8OHJ98DmaNZGRG99BGc92YjwgrpjPN4Y1XnDKu80KrSpOKGj4Hq7qQ-yjrHlypAx69pUW5Kp8X2D4a99csPBrLi__msTzK1sXAKk9YU9KXLtx1khvmICIDx__Tq6Y_QFvDi_MZbbQ3S_MFLNh29tXp2yOcFo5s
linkProvider Taylor & Francis
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NT8IwFH9RPIgHPxAjfvbgzYyMteu6oyEQVMYJEm6zK11CNNPASIx_vf3YENRw0OOyva5dX9f3Xt_7_QBuJjQJJOPEYdyVDmE-czhPA8fHnAau8DxmisSiAe2NyMPYHxc8p_MirVL70KkFijD_ar24dTDarvCQaUAeDfuiocsCHGgbeRt2_FA1rms43MHKMQILyrQ5jRNTVs382sbazrSGW7qeq2h2nu4BPJV9tgknz81FnjTFxzc4x38M6hD2C6sU3Vk1OoItmdVgbwWrUF1FS4DXeQ2q2ki1GM_H0I0MDfUcqbEge4qsRFB7oeO9i5lEqlPIhB5tFQWaZiiavptbnSXDwLwOo25n2O45BT-DIzBhucOlcnZ8oXorPU12g1tSuhMPy4BQ7nvSJZwyETKaCuUHS6LBzpSV7E_UHsiIl-ATqGSvmTwFxIloCarUg1NMqPBDwVPhpVjSiTLBQtaAVjk3sSjAyzWHxktsnJiQxT8_XwNulzJvFrpj49N0dcrj3ARMUstuEuNNgnWjHF_v8IKW8hLP_trgNez2hlE_7t8PHs-hauhnTIblBVTy2UJeKisoT66Mpn8Cd-T2vQ
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bT8IwFD5RTAw-eEGMeO2Db2ZkrF3XPRpkwQvEB0l4W0rXJUQzCYzE-OvtZUNQwwOPy9auXU_X75yefh_ATUJHgWScOIy70iHMZw7naeD4mNPAFZ7HzCGxXp92B-Rx6A-LgNusSKvUPnRqiSLMv1pP7kmS2gkeMs3Ho1lfNHNZgAMNkbdhhypsoq0au_2lXQQWlFlzmiamPDTzbx0rC9MKbelqqqJZeKIDiMsm23yTt-Y8HzXF1y82x837dAj7BSZFd9aIjmBLZjXYW2IqVFe9Bb3rrAZVDVEtw_MxRD0jQj1DqivI7iGrIqg919He-VQi1SZkAo_2DAUaZ6g3_jS3Ogt9gVkdBlHntd11CnUGR2DCcodL5er4QrVWelrqBrekdBMPy4BQ7nvSJZwyETKaCuUFS6KpzhRG9hO1AjLijfAJVLKPTJ4C4kS0BFXGwSkmVPih4KnwUixpogBYyBrQKocmFgV1uVbQeI-NCxOy-O_na8DtoszEEnesfZouj3icm3BJarVNYryuYN3Yxs87vKClfMSzTSu8ht2X-yh-fug_nUPVaM-Y9MoLqOTTubxUECgfXRk7_wZ_MfVq
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=Methods+for+Assessing+Curvature+and+Interaction+in+Mixture+Experiments&rft.jtitle=Technometrics&rft.au=Piepel%2C+Greg+F&rft.au=Hicks%2C+Ruel+D&rft.au=Szychowski%2C+Jeff+M&rft.au=Loeppky%2C+Jason+L&rft.date=2002-05-01&rft.issn=0040-1706&rft.eissn=1537-2723&rft.volume=44&rft.issue=2&rft.spage=161&rft.epage=172&rft_id=info:doi/10.1198%2F004017002317375118&rft.externalDBID=n%2Fa&rft.externalDocID=10_1198_004017002317375118
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0040-1706&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0040-1706&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0040-1706&client=summon