Ban Estimation for Chi-Square Test Criteria in Categorical Data |
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Authors: | Kerry G. Bemis Vasant P. Bhapkar |
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Affiliation: | 1. Lilly Research Laboratories , Indianapolis, IN;2. University of Kentucky , Lexington, KY |
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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. |
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Keywords: | regular estimator best asymptotically normal estimator chi-square test criteria |
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