On testing departure from the binomial and multinomial assumptions.
This paper is concerned with testing the multinomial (binomial) assumption against the Dirichlet-multinomial (beta-binomial) alternatives. In particular, we discuss the distribution of the asymptotic likelihood ratio (LR) test and obtain the C(alpha) goodness-of-fit test statistic. The inadequacy of the regular chi-square approximation to the LR test is supported by some Monte Carlo experiments. The C(alpha) test is recommended based on empirical significance level and power and also computational simplicity. Two examples are given.
Paul
S R
SR
Department of Mathematics and Statistics, University of Windsor, Ontario, Canada.
Liang
K Y
KY
Self
S G
SG
D003198:Computer Simulation; D015233:Models, Statistical; D009010:Monte Carlo Method; D009874:Operations Research; D012494:Sampling Studies