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A Graduate Course on Statistical Inference (Springer Texts in Statistics)

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ISBN-10:

1493997599

ISBN-13:

9781493997596

Author(s): 李, 冰; Babu, G. Jogesh
Edition: 1st ed. 2019
Released: Aug 02, 2019
Publisher: Springer
Format: Hardcover, 391 pages
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Description:

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.

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