Automated mixed ANOVA modeling of sensory and consumer data

Food Quality and Preference

Volumn 40, Issue PA, 2014, Pages 31-38

  Kuznetsova, Alexandra ^a   Christensen, Rune H B ^a   Bavay, Cecile ^b   Brockhoff, Per Bruun ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b Groupe ESA   (France)

Author keywords

ANOVA; Automated model building; Conjoint; Consumer preference; Mixed effects models; R program

Indexed keywords

EID: 84907380077     PISSN: 09503293     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodqual.2014.08.004     Document Type: Article

References (24)

1. Bates, D., Maechler, M., Bolker, B., & Walker, S. (2013). lme4: Linear mixed-effects models using Eigen and S4. r package version 1.0-4. http://CRAN.R-project.org/package=lme4.
2. Bavay C., Symoneaux R., Maitre I., Kuznetsova A., Brockhoff P.B., Mehinagic E. Importance of fruit variability in the assessment of apple quality by sensory evaluation. Journal of Agricultural, Biological, and Environmental Statistics 2013, 77:67-74.
3. Beck T.K., Jensen S., Bjoern G.K., Kidmose U. The masking effect of sucrose on perception of bitter compounds in brassica vegetables. Journal of Sensory Studies 2014, 887-8250.
4. Diggle Peter J., Heagerty Patrick N., Liang Kung-Yee, Zeger Scott L. Analysis of longitudinal data 2002, Oxford University Press.
5. Fan Y., Li R. Variable selection in linear mixed effects models. Annals of Statistics 2012, 40:2043-2068. 10.1214/12-AOS1028.
6. Hjsgaard, U. H. S. (2013). pbkrtest: Parametric bootstrap and Kenward Roger based methods for mixed model comparison. r package version 0.3-5. http://CRAN.R-project.org/package=pbkrtest.
7. Ibrahim J.G., Zhu H., Garcia R.I., Guo R. Fixed and random effects selection in mixed effects models. Biometrics - Washington 2011, 67:495-503.
8. Jaeger S.R., Mielby L.H., Heymann H., Jia Y., Frost M.B. Analysing conjoint data with OLS and PLS regression: a case study with wine. Journal of the Science of Food and Agriculture 2013, 93:3682-3690. ISSN:0887-8250.
9. Jiang, J., Rao, J. S., Gu, Z., & Nguyen, T. (2008). Fence methods for mixed model selection.
10. Kenward M.G., Roger J.H. Small sample inference for fixed effects estimators from restricted maximum likelihood. Biometrics 1997, 53:983-997.
11. Kuznetsova, A., Bruun Brockhoff, P., & Haubo Bojesen Christensen, R. (2013). lmerTest: Tests for random and fixed effects for linear mixed effect models (lmer objects of lme4 package). r package version 2.0-0. http://CRAN.R-project.org/package=lmerTest.
12. Lawless H.T., Heymann H. Sensory evaluation of food 2010, Springer Science+Business Media LLC.
13. Næs T., Brockhoff P.B., Tomic O. Statistics for sensory and consumer science 2010, John Wiley and Sons Ltd.
14. Næs T., Langsrud O. Fixed or random assessors in sensory profiling?. Food Quality and Preference 1996, 9:145-152.
15. Næs T., Lengard V., Johansen S.B., Hersleth M. Alternative methods for combining design variables and consumer preference with information about attitudes and demographics in conjoint analysis. Food Quality and Preference 2010, 21:368-378.
16. Nofima Mat, N., & Ås (2008). Panelcheck software. http://www.panelcheck.com.
17. Peng H., Lu Y. Model selection in linear mixed effect models. Journal of Multivariate Analysis 2012, 109:109-129. 10.1016/j.jmva.2012.02.005.
18. Satterthwaite F. An approximate distribution of estimates of variance components. Biometrics Bulletin 1946, 2:110-114.
19. Schaalje G.B., McBride J.B., Fellingham G.W. Adequacy of approximations to distributions of test statistics in complex mixed linear models. Journal of Agricultural, Biological, and Environmental Statistics 2002, 7:512-524.
20. Scheepers C., Tily H.J., Levy R., Barr D.J. Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language 2013, 68:255-278. 10.1016/j.jml.2012.11.001.
21. Self S.G., Liang K.Y. Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions. Journal of the American Statistical Association 1987, 82:605-610. [01621459, 1537274x].
22. Stram D.O., Lee J.W. Variance component testing in the longitudinal mixed effects model. Biometrics 1994, 50:1171-1177.
23. West B., Welch K.B., Galecki A.T. Linear mixed models a practical guide using statistical software 2007, Chapman & Hall, CRC.
24. Zuur A.F., Ieno E.N., Walker N., Saveliev A.A., Smith G.M. Mixed effects models and extensions in ecology with R 2009, Springer Science+Business Media LLC.