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A Graduate Course on Statistical Inference

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-1-4939-9761-9 / 978-1493997619 / 9781493997619

Verlag: Springer US

Erscheinungsdatum: 02.08.2019

Seiten: 379

Autor(en): Bing Li, G. Jogesh Babu

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