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EM Algorithm and Related Statistical Models, The
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Michiko Watanabe Kazunori Yamaguchi
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This book provides a comprehensive description of a method of constructing a statistical model when only incomplete data are available, and then proposes specific estimation algorithms for solving various individual incomplete data problems.
In spite of the demand for utilizing data increasingly obtained from recently compiled socioeconomic databases, the development of statistical theories is slow in coming when the available data are, for the most part, incomplete by nature. It is true that independent study results based on an awareness of individual problems have been reported; however, this is the
first complete work discussing the problems in individual fields from a broader and unified perspective. In addition to addressing these very issues, the book offers a summary of prior findings and software resources.
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