| HUNTER, E. A., PIGGOTT; J.R. and MONICA-LEE, K.Y. (2000): Analysis of Discrimination Tests. Agro-industrie et methodes statistiques, Pau 19-20 Janvier 2000, Proceedings. |
....number of assessors is not too small. We show some simulation results on the performance of the interval for small numbers of assessors. Finally, the confidence interval is compared to corresponding intervals derived from other methods. This is done with data from an empirical study reported by Hunter, Piggott and Monica Lee (2000). 2. A conservative confidence interval for b We start with the conditional distribution of X i the number of correct answers of assessor i for fixed a i . Model (1) implies that, for fixed a i , X i is binomially distributed with parameters m, where m is the number of assessments performed by ....
....a i . b n 1 , 975 . 0 ) 0 ( 1 ) n t Z T 975 0 ) 0 ( 2 ) u Z T 0.0 20 242 252 10 200 215 5 206 225 0.1 20 5,134 5,751 10 2,411 3,093 5 1,165 1,789 0.2 20 9,767 9,879 10 7,405 8,387 5 3,382 5,428 0.3 20 10,000 10,000 10 9,742 9,937 5 6,341 8,778 4. Practical examples Hunter, Piggott and Monica Lee (2000) report three experiments with repeated triangle tests. In all three experiments, each assessor examined m = 12 presentations of the two products. In experiment 1 they had n = 30, in experiment 2 they had n = 24 and in experiment 3 they had n = 23 assessors. So all three experiments were in the ....
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HUNTER, E. A., PIGGOTT; J.R. and MONICA-LEE, K.Y. (2000): Analysis of Discrimination Tests. Agro-industrie et methodes statistiques, Pau 19-20 Janvier 2000, Proceedings.
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