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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
A Graduate Course on Statistical Inference

A Graduate Course on Statistical Inference

Li, Bing
Babu, G. Jogesh

Hardcover

Series: Springer Texts in Statistics

Probability & Statistics

ISBN10: 1493997599
ISBN13: 9781493997596
Publisher: Springer Nature
Published: Aug 2 2019
Pages: 379
Weight: 1.59
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English
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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