%0 Journal Article
%A Felipe Ortega, Ángel
%A Pardo Llorente, Leandro
%T New Family Of Estimators For The Loglinear Model Of Quasi-Independence Based On Power-Divergence Measures
%D 2007
%@ 0094-9655
%U https://hdl.handle.net/20.500.14352/49892
%X We study the minimum power-divergence estimator, introduced and studied by N. Cressie and T. R. C. Read [Multinomial goodness-of-fit tests. J. R. Stat. Soc., Ser. B 46, 440–464 (1984), in the loglinear model of quasi-independence.A simulation study illustrates that minimum chi-squared estimator and Cressie-Read estimator are good alternatives to the classical maximum-likelihood estimator for thisproblem.The estimator obtained for  = 2 is the most robust and efficient estimator among the family of the minimum power estimators.
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