A Graduate Course on Statistical Inference Hardback
by Bing Li, G. Jogesh Babu
Part of the Springer Texts in Statistics series
Hardback
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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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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
Other Formats
- EPUB from £101.58
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
