Replicated difference and preference tests: How to account for inter-trial variation

Food Quality and Preference

Volumn 11, Issue 4, 2000, Pages 269-273

  Bi, Jian ^a   Templeton Janik, Lynn ^b   Ennis, John M ^c   Ennis, Daniel M ^a  

^a Institute for Perception   (United States)

^b S C Johnson & Son Inc   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0034215929     PISSN: 09503293     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0950-3293(99)00032-4     Document Type: Article

References (17)

1. Aeschbacher H.U., Vuataz L., Sotek J., Stalder R. Use of the beta-binomial distribution in dominant-lethal testing for "week mutagenic activity". Part 1. Mutation Research. 44:1977;369-390.
2. Chatfield C., Goodhardt G.J. The beta-binomial model for consumer purchasing behavior. Applied Statistics. 19:1970;240-250.
3. Ennis D.M., Bi J. The beta-binomial model. accounting for inter-trial variation in replicated difference and preference tests Journal of Sensory Studies. 13:1998;389-412.
4. Gange S.J., Munoz A., Saez M., Alonso J. Use of the beta-binomial distribution to model the effect of policy change on appropriateness of hospital stays. Applied Statistics. 45:1996;371-382.
5. Griffiths D.A. Maximum likelihood estimation for the beta-binomial distribution and an application to the household distribution of the total number of cases of a disease. Biometrics. 29:1973;637-648.
6. Haseman J.K., Kupper L.L. Analysis of dichotomous response data from certain toxicological experiments. Biometrics. 35:1979;281-293.
7. Johnson N.L., Kotz S. Discrete distributions. 1969;John Wiley & Sons, New York.
8. Johnson, N. L. & Kotz, S. (1970). Distributions in statistics: Continuous univariate distributions-2. New York: John Wiley & Sons.
9. Kleinman J.C. Proportions with extraneous variance: single and independent samples. Journal of the American Statistical Association. 68:1973;46-54.
10. Ishii G., Hayakawa R. On the compound binomial distribution. Annals of the Institute of Statistical Mathematics, Tokyo. 12:1960;69-80.
11. Moran P.A.P. An introduction to probability theory. 1968;Oxford University Press, Oxford.
12. Morrison D.G. A probability model for forced binary choices. The American Statistician. 32(1):1978;23-25.
13. Otake M., Prentice R.L. The analysis of chromosomally aberrant cells based on beta-binomial distribution. Radiation Research. 98:1984;456-470.
14. Paul S.R. Analysis of proportions of affected foetuses in teratological experiments. Biometrics. 38:1982;361-370.
15. Skellam J.G. A probability distribution derived from the binomial distribution by regarding the probability of success as variable between the sets of trials. Journal of the Royal Statistical Society, Series B. 10:1948;257-261.
16. Tarone R.E. Testing the goodness of fit of the binomial distribution. Biometrika. 66:1979;585-590.
17. Williams D.A. The analysis of binary responses from toxicological experiments involving reproduction and teratogenicity. Biometrics. 31:1975;949-952.