Exercises and Solutions in Statistical Theory
โ Scribed by Kupper, Lawrence L.; Neelon, Brian. H.; O'Brien, Sean M
- Publisher
- CRC Press
- Year
- 2013
- Tongue
- English
- Leaves
- 384
- Series
- Chapman & Hall/CRC Texts in Statistical Science
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
""I have found the book useful in preparing homework and exam questions in my current course, and I could see students benefiting from such a trove of problems with solutions.""
-The American Statistician, February 2015
Abstract:
""I have found the book useful in preparing homework and exam questions in my current course, and I could see students benefiting from such a trove of problems with solutions.""
-The American Statistician, February 2015
โฆ Table of Contents
Content: Front Cover
Dedication
Contents
Preface
Acknowledgments
Authors
Chapter 1: Concepts and Notation
Chapter 2: Basic Probability Theory
Chapter 3: Univariate Distribution Theory
Chapter 4: Multivariate Distribution Theory
Chapter 5: Estimation Theory
Chapter 6: Hypothesis Testing Theory
Appendix: Useful Math Results
References
โฆ Subjects
ะะฐัะตะผะฐัะธะบะฐ;ะขะตะพัะธั ะฒะตัะพััะฝะพััะตะน ะธ ะผะฐัะตะผะฐัะธัะตัะบะฐั ััะฐัะธััะธะบะฐ;ะะฐัะตะผะฐัะธัะตัะบะฐั ััะฐัะธััะธะบะฐ;
๐ SIMILAR VOLUMES
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<P>Drawn from nearly four decades of Lawrence L. Kupperโs teaching experiences as a distinguished professor in the Department of Biostatistics at the University of North Carolina, <STRONG>Exercises and Solutions in Biostatistical Theory</STRONG> presents theoretical statistical concepts, numerous ex
<p><P>The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions. The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents the derivation of estimators and tests for various practical
This book consists of four hundred exercises in mathematical statistics and their solutions, over 95% of which are in the author's Mathematical Statistics, Second Edition (Springer, 2003). For students preparing for work on a Ph.D. degree in statistics and instructors of mathematical statistics cour