A multithreshold model for sensory analysis

Journal of Food Science

Volumn 71, Issue 4, 2006, Pages

  Varona, Luis ^a   Hernández, Pilar ^b  

^a IRTA   (Spain)

^b UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Bayesian analysis; Panelist; Rabbit; Sensory analysis; Threshold model

Indexed keywords

ANIMALIA; ORYCTOLAGUS CUNICULUS;

EID: 33745261753     PISSN: 00221147     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1750-3841.2006.00004.x     Document Type: Article

References (15)

1. Albert JH, Chib S. 1993. Bayesian-analysis of binary and polychotomous response data. J Am Stat Soc 88:669-79.
2. Blasco A. 2005. The use of Bayesian statistics in meat quality analyses: a review. Meat Sci 69:115-22.
3. Brockhoff PM, Hirst D, Naes T. 1996. Analysing individual profiles with three-way factor analysis. In: Naes T, Risvik E, editors. Multivariate analysis of data in sensory science. Amsterdam: Elsevier.
4. Degroot MH. 1986. Probability and Statistics, 2nd edn, Addison-Wesley, Reading, Mass.
5. Estany J, Camacho J, Baselga M, Blasco A. 1992. Selection response of growth rate in rabbits for meat production. Genetic Selection Evolution 24:527-37.
6. Gelfand AE, Smith AFM. 1990. Sampling-based approaches to calculating marginal densities. J Am Stat Assoc 85:398-409.
7. Geweke J. 1992. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments (with discussion). In: Bernardo JM, Berger JO, Dawid AP, Smith AFM, editors. Bayesian statistics. Vol. 4. p 169-93. Oxford University Press, USA.
8. Gianola D. 1982. Theory and analysis of threshold characters. J Anim Sci 54:1079-96.
9. Hernández P, Guerrero L, Ramirez J, Mekkawy W, Pla M, Ariño B, Ibáñez N, Blasco A. 2005. A Bayesian approach to the effect of selection on growth rate on sensory meat quality of rabbit. Meat Sci 69:123-7.
10. Nold RA, Romans JR, Costello WJ, Henson JA, Libal GW. 1997. Sensory characteristics and carcass traits of boars, harrows, and gilts fed high or adequate protein diets and slaughtered at 100 or 110 kilograms. J Anim Sci 75:2641-51.
11. Raftery AE, Lewis SM. 1992. How many iterations in the Gibbs Sampler?. In: Bernardo JM, Berger JO, Dawid AP, Smith AFM, editors. Bayesian Statistics IV. New York, USA: Oxford University Press, p 763-74.
12. Sorensen DA, Andersen S, Gianola D, Korsgaard I. 1995. Bayesian Inference in threshold models using gibbs sampling 27:229-49.
13. Steel RG, Torrie JH. 1980. Principles and procedures of statistics. New York: McGraw-Hill.
14. Stone H, Sidel J, Oliver S, Woolsey A, Singleton RC. 1974. Sensory evaluation by quantitative descriptive analysis. Food Technol 28:24-34.
15. Wright S. 1934. An analysis of variability in number of digits in an inbred strain of guinea pigs. Genetics 19:506-36.