Published by Springer, 2010
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Published by World Scientific Publishing Company, 2015
ISBN 10: 981459606X ISBN 13: 9789814596060
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Published by Springer Nature Switzerland AG, CH, 2023
ISBN 10: 3030916979 ISBN 13: 9783030916978
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Paperback. Condition: New. Second Edition 2022. This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, Large Sample Techniques for Statistics begins with fundamental techniques, and connects theory and applications in engaging ways.The first five chapters review some of the basic techniques, such as the fundamental epsilon-delta arguments, Taylor expansion, different types of convergence, and inequalities. The next five chapters discuss limit theorems in specific situations of observational data. Each of the first ten chapters contains at least one section of case study. The last six chapters are devoted to special areas of applications. This new edition introduces a final chapter dedicated to random matrix theory, as well as expanded treatment of inequalities and mixed effects models. The book's case studies and applications-oriented chapters demonstrate how to use methods developed from large sample theory in real world situations. The book is supplemented by a large number of exercises, giving readers opportunity to practice what they have learned. Appendices provide context for matrix algebra and mathematical statistics. The Second Edition seeks to address new challenges in data science.This text is intended for a wide audience, ranging from senior undergraduate students to researchers with doctorates. A first course in mathematical statistics and a course in calculus are prerequisites.
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Language: English
Published by World Scientific Publishing Company, 2015
ISBN 10: 981459606X ISBN 13: 9789814596060
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Language: English
Published by World Scientific Publishing Company, 2015
ISBN 10: 981459606X ISBN 13: 9789814596060
Seller: Basi6 International, Irving, TX, U.S.A.
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Published by Springer Nature Switzerland AG, CH, 2022
ISBN 10: 3030916944 ISBN 13: 9783030916947
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. Second Edition 2022. This book offers a comprehensive guide to large sample techniques in statistics. With a focus on developing analytical skills and understanding motivation, Large Sample Techniques for Statistics begins with fundamental techniques, and connects theory and applications in engaging ways.The first five chapters review some of the basic techniques, such as the fundamental epsilon-delta arguments, Taylor expansion, different types of convergence, and inequalities. The next five chapters discuss limit theorems in specific situations of observational data. Each of the first ten chapters contains at least one section of case study. The last six chapters are devoted to special areas of applications. This new edition introduces a final chapter dedicated to random matrix theory, as well as expanded treatment of inequalities and mixed effects models. The book's case studies and applications-oriented chapters demonstrate how to use methods developed from large sample theory in real world situations. The book is supplemented by a large number of exercises, giving readers opportunity to practice what they have learned. Appendices provide context for matrix algebra and mathematical statistics. The Second Edition seeks to address new challenges in data science.This text is intended for a wide audience, ranging from senior undergraduate students to researchers with doctorates. A first course in mathematical statistics and a course in calculus are prerequisites.
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Springer (edition Second Edition 2021), 2021
ISBN 10: 1071612816 ISBN 13: 9781071612811
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Language: English
Published by World Scientific Publishing Company, 2015
ISBN 10: 981459606X ISBN 13: 9789814596060
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Published by Taylor & Francis Ltd, 2021
ISBN 10: 1032096772 ISBN 13: 9781032096773
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Published by World Scientific Publishing Co, 2019
ISBN 10: 9814733830 ISBN 13: 9789814733830
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Condition: New. pp. 270.