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超值推薦-Statistical Inference: The Minimum Distance Approach

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Statistical Inference: The Minimum Distance Approach


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Writing for students who have taken a first-year graduate course in statistics, Basu (Indian Statistical Institute, Kolkata), Hiroyki Shioya (Muroran Institute of Technology, Japan) and Chanseok Park (Clemson U., US) explain the theory and procedures of a class of statistical techniques. They focus on density-based minimum distance methods. Among their topics are statistical distances, measures of robustness and computational issues, weighted likelihood estimation, the density power divergence, and distance measures in information and engineering. Annotation 穢2011 Book News, Inc., Portland, OR (booknews.com)
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Statistical Inference: The Minimum Distance Approach

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