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Numerical issues in statistical comp...
~
Altman, Micah.
Numerical issues in statistical computing for the social scientist
レコード種別:
コンピュータ・メディア : 単行資料
タイトル / 著者:
Numerical issues in statistical computing for the social scientist/ Micah Altman, Jeff Gill, Michael P. McDonald.
著者:
Altman, Micah.
その他の著者:
Gill, Jeff.
出版された:
Hoboken, NJ :Wiley,2004.
記述:
1 online resource (xv, 331 pages) :illustrations
主題:
Statistics - Data processing. -
電子資源:
Click here for online access to this book (查閱全文) (EBSCO eBook)
国際標準図書番号 (ISBN):
9780471475767 (electronic bk.)
国際標準図書番号 (ISBN):
0471475769 (electronic bk.)
国際標準図書番号 (ISBN):
9780471475743 (electronic bk.)
国際標準図書番号 (ISBN):
0471475742 (electronic bk.)
Numerical issues in statistical computing for the social scientist
Altman, Micah.
Numerical issues in statistical computing for the social scientist
[electronic resource] /Micah Altman, Jeff Gill, Michael P. McDonald. - Hoboken, NJ :Wiley,2004. - 1 online resource (xv, 331 pages) :illustrations - Wiley series in probability and statistics. - Wiley series in probability and statistics..
Includes bibliographical references and indexes.
Contents -- Preface -- 1. Introduction: Consequences of Numerical Inaccuracy -- 2. Sources of Inaccuracy in Statistical Computation -- 3. Evaluating Statistical Software -- 4. Robust Inference -- 5. Numerical Issues in Markov Chain Monte Carlo Estimation -- 6. Numerical Issues Involved in Inverting Hessian Matrices -- 7. Numerical Behavior of King's EI Method -- 8. Some Details of Nonlinear Estimation -- 9. Spatial Regression Models -- 10. Convergence Problems in Logistic Regression -- 11. Recommendations for Replication and Accurate Analysis -- Bibliography.
At last--a social scientist's guide through the pitfalls of modern statistical computing. Addressing the current deficiency in the literature on statistical methods as they apply to the social and behavioral sciences, Numerical Issues in Statistical Computing for the Social Scientist seeks to provide readers with a unique practical guidebook to the numerical methods underlying computerized statistical calculations specific to these fields. The authors demonstrate that knowledge of these numerical methods and how they are used in statistical packages is essential for making accurate inferences.
ISBN: 9780471475767 (electronic bk.)
Standard No.: 10.1002/0471475769doi
OverDrive, Inc.http://www.overdrive.comSubjects--Topical Terms:
190291
Statistics
--Data processing.Subjects--Index Terms:
Computational and graphical statisticsIndex Terms--Genre/Form:
172687
Electronic books.
LC Class. No.: QA276.4 / .A398 2004eb
Dewey Class. No.: 519.5
Numerical issues in statistical computing for the social scientist
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Contents -- Preface -- 1. Introduction: Consequences of Numerical Inaccuracy -- 2. Sources of Inaccuracy in Statistical Computation -- 3. Evaluating Statistical Software -- 4. Robust Inference -- 5. Numerical Issues in Markov Chain Monte Carlo Estimation -- 6. Numerical Issues Involved in Inverting Hessian Matrices -- 7. Numerical Behavior of King's EI Method -- 8. Some Details of Nonlinear Estimation -- 9. Spatial Regression Models -- 10. Convergence Problems in Logistic Regression -- 11. Recommendations for Replication and Accurate Analysis -- Bibliography.
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