A graduate course on statistical inference [Documento eletrónico] / Bing Li, G. Jogesh Babu
Language: eng.Country: US - United States of America, New York.Publication: New York : Springer New York, 2019Description: XII, 379 p. : il.ISBN: 978-1-4939-9761-9.Series: Springer Texts in StatisticsSubject - Topical Name: Statistics Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA276.SPR FCT (Browse shelf(Opens below)) | 1 | Available | 96218 |
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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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