Diagnostics Analysis and Perturbations in a Clustered Sampling Model

Abstract In this paper, we will consider the influence analysis of a contingency table in which cell counts are generated by a clustered sampling model. We discuss the estimation procedures for obtaining maximum likelihood estimates and diagnostical methods for a contingency table derived from a cluster sampling model. In particular, we consider diagnostic and influence analysis in a cluster sampling model.

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