國立高雄大學圖資館 |

Language: English

Back

A graduate course on statistical inf...

Babu, Gutti Jogesh, (1949-)

A graduate course on statistical inference /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A graduate course on statistical inference /Bing Li, G. Jogesh Babu.
Author:	Li, Bing,
other author:	Babu, Gutti Jogesh,
Published:	New York, NY :Springer,c2019.
Description:	xii, 379 p. :ill. ;25 cm.
Subject:	Mathematical statistics.
ISBN:	9781493997596 (hbk.) :

A graduate course on statistical inference /
Li, Bing,1960-

A graduate course on statistical inference /Bing Li, G. Jogesh Babu. - New York, NY :Springer,c2019. - xii, 379 p. :ill. ;25 cm. - Springer texts in statistics,1431-875X. - Springer texts in statistics..

Includes bibliographical references and index.

1. Probability and Random Variables -- 2. Classical Theoryof 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. AsymptoticTools and Projections -- 8. Asymptotic Theory for Maximum Likelihood Estimation -- 9. Estimating Equations -- 10. Convolution Theorem and Asymptotic Efficiency -- 11. Asymptotic Hypothesis Test -- References -- Index

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 astandardized 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 ortwo-semester course

ISBN: 9781493997596 (hbk.) :NT$2978Subjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276 / L5 2019

Dewey Class. No.: 519.54

A graduate course on statistical inference /
LDR:02060cam a2200253 a 4500 001 593917
005 20200812102730.0
008 210818s2019 nyua b 001 0 eng d
020 $a 9781493997596 (hbk.) : $c NT$2978
020 $a 1493997599 (hbk.)
020 $z 9781493997619 (ebook)
035 $a (OCoLC)1102475174
035 $a (OCoLC)on1102475174
035 $a 1038589079
040 $a YDX $b eng $c YDX $d YDXIT $d IUL $d OCLCF $d NTU
042 $a nbic
050 4 $a QA276 $b L5 2019
082 0 4 $a 519.54 $2 23
100 1 $a Li, Bing, $d 1960- $e author. $3 829185
245 1 2 $a A graduate course on statistical inference / $c Bing Li, G. Jogesh Babu.
260 $a New York, NY : $b Springer, $c c2019.
300 $a xii, 379 p. : $b ill. ; $c 25 cm.
490 1 $a Springer texts in statistics, $x 1431-875X
504 $a Includes bibliographical references and index.
505 0 $a 1. Probability and Random Variables -- 2. Classical Theoryof 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. AsymptoticTools and Projections -- 8. Asymptotic Theory for Maximum Likelihood Estimation -- 9. Estimating Equations -- 10. Convolution Theorem and Asymptotic Efficiency -- 11. Asymptotic Hypothesis Test -- References -- Index
520 $a 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 astandardized 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 ortwo-semester course
650 0 $a Mathematical statistics. $3 181877
700 1 $a Babu, Gutti Jogesh, $d 1949- $3 185123
830 0 $a Springer texts in statistics. $3 559235