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A Graduate Course on Statistical Inference
Bing LiG. Jogesh Babu
出版Springer, 2019-08-02
主題Mathematics / Probability & Statistics / GeneralMathematics / Probability & Statistics / Stochastic Processes
ISBN14939976109781493997619
URLhttp://books.google.com.hk/books?id=3OOmDwAAQBAJ&hl=&source=gbs_api
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註釋This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The authors have included a chapter on estimating equations as a means to unify a range of useful methodologies, including generalized linear models, generalized estimation equations, quasi-likelihood estimation, and conditional inference. They also utilize a standardized set of assumptions and tools throughout, imposing regular conditions and resulting in a more coherent and cohesive volume. Written for the graduate-level audience, this text can be used in a one-semester or two-semester course.