Springer Texts in Statistics

Li, Bing; Babu, G. Jogesh

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.

Details

Published by: Springer

Publication Date: 2019-08-02

Format: Hardcover

ISBN-13: 9781493997596

DOI: 10.1007/978-1-4939-9761-9

Dimensions: 235cm x155cm

Pages: 379