عنوان

A graduate course on statistical inference /

1493997602

1493997610

9781493997602

9781493997619

1493997599

9781493997596

A graduate course on statistical inference /

[Book]

Bing Li, G. Jogesh Babu.

New York :

Springer,

[2019]

©2019

1 online resource :

illustrations

Springer texts in statistics,

1431-875X

Includes bibliographical references and index.

1. Probability and Random Variables -- 2. Classical Theory of Estimation -- 3. Testing Hypotheses in the Presence of Nuisance Parameters -- 4. Testing Hypotheses in the Presence of Nuisance Parameters -- 5. Basic Ideas of Bayesian Methods -- 6. Bayesian Inference -- 7. Asymptotic Tools and Projections -- 8. Asymptotic Theory for Maximum Likelihood Estimation -- 9. Estimating Equations -- 10. Convolution Theorem and Asymptotic Efficiency -- 11. Asymptotic Hypothesis Test -- References -- Index.

0

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.

Springer Nature

com.springer.onix.9781493997619

Graduate course on statistical inference.

9781493997596

Mathematical statistics.

Mathematical statistics.

MAT029000

PBT

PBT

Li, Bing,1960-

Babu, Gutti Jogesh,1949-

20200823035242.0

pn

[Book]

Y