A graduate course on statistical inference / Bing Li, G. Jogesh Babu.

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A graduate course on statistical inference / Bing Li, G. Jogesh Babu.

9781493997619 (electronic book)
1493997610 (electronic book)
9781493997596
1493997599

https://doi.org/10.1007/978-1-4939-9761-9
https://doi.org/10.1007/978-1-4939-9

New York : Springer, [2019]

©2019

English

1 online resource : illustrations.

10.1007/978-1-4939-9761-9 doi
10.1007/978-1-4939-9

QA276 .L5 2019eb

519.5/4

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.

Includes bibliographical references and index.

Access limited to authorized users.

Online resource; title from PDF title page (SpringerLink, viewed August 28, 2019).

Springer texts in statistics.

Print version: 9781493997596

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