Examples and Problems in Mathematical Statistics
eBook - ePub

Examples and Problems in Mathematical Statistics

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Examples and Problems in Mathematical Statistics

About this book

Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises

With a clear and detailed approach to the fundamentals of statistical theory, Examples and Problems in Mathematical Statistics uniquely bridges the gap between theory andapplication and presents numerous problem-solving examples that illustrate the relatednotations and proven results.

Written by an established authority in probability and mathematical statistics, each chapter begins with a theoretical presentation to introduce both the topic and the important results in an effort to aid in overall comprehension. Examples are then provided, followed by problems, and finally, solutions to some of the earlier problems. In addition, Examples and Problems in Mathematical Statistics features:

  • Over 160 practical and interesting real-world examples from a variety of fields including engineering, mathematics, and statistics to help readers become proficient in theoretical problem solving
  • More than 430 unique exercises with select solutions
  • Key statistical inference topics, such as probability theory, statistical distributions, sufficient statistics, information in samples, testing statistical hypotheses, statistical estimation, confidence and tolerance intervals, large sample theory, and Bayesian analysis

Recommended for graduate-level courses in probability and statistical inference, Examples and Problems in Mathematical Statistics is also an ideal reference for applied statisticians and researchers.

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Yes, you can access Examples and Problems in Mathematical Statistics by Shelemyahu Zacks in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2013
Print ISBN
9781118605509
eBook ISBN
9781118605837

Table of contents

  1. Cover
  2. Series
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Preface
  7. List of Random Variables
  8. List of Abbreviations
  9. Chapter 1: Basic Probability Theory
  10. Chapter 2: Statistical Distributions
  11. Chapter 3: Sufficient Statistics and the Information in Samples
  12. Chapter 4: Testing Statistical Hypotheses
  13. Chapter 5: Statistical Estimation
  14. Chapter 6: Confidence and Tolerance Intervals
  15. Chapter 7: Large Sample Theory for Estimation and Testing
  16. Chapter 8: Bayesian Analysis in Testing and Estimation
  17. Chapter 9: Advanced Topics in Estimation Theory
  18. Reference
  19. Author Index
  20. Subject Index
  21. Wiley Series in Probability and Statistics