A Graduate Course on Statistical Inference Hardback
by Bing Li, G. Jogesh Babu
Part of the Springer Texts in Statistics series
Hardback
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:379 pages, 148 Illustrations, black and white; XII, 379 p. 148 illus.
- Publisher:Springer-Verlag New York Inc.
- Publication Date:02/08/2019
- Category:
- ISBN:9781493997596
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:379 pages, 148 Illustrations, black and white; XII, 379 p. 148 illus.
- Publisher:Springer-Verlag New York Inc.
- Publication Date:02/08/2019
- Category:
- ISBN:9781493997596
