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Ban Estimation for Chi-Square Test Criteria in Categorical Data
Authors:Kerry G Bemis  Vasant P Bhapkar
Institution:1. Lilly Research Laboratories , Indianapolis, IN;2. University of Kentucky , Lexington, KY
Abstract:This expository paper describes some recent work that further develops the theory of BAN estimators and the related chi-scuare test statistics.The extensions are in several directions: (a) the class of regular estimators is broadened by permitting extraneous random elements; (b) more general models are permitted under the constraint equations specification; and (c) BAN estimators are defined for general models combining features of two types of specification.In particular, WLS estimators are shown to be BAN.
Keywords:regular estimator  best asymptotically normal estimator  chi-square test criteria
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