An Introduction to Probability and Mathematical Statistics
eBook - PDF

An Introduction to Probability and Mathematical Statistics

  1. 241 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

An Introduction to Probability and Mathematical Statistics

About this book

An Introduction to Probability and Mathematical Statistics provides information pertinent to the fundamental aspects of probability and mathematical statistics. This book covers a variety of topics, including random variables, probability distributions, discrete distributions, and point estimation. Organized into 13 chapters, this book begins with an overview of the definition of function. This text then examines the notion of conditional or relative probability. Other chapters consider Cochran's theorem, which is of extreme importance in that part of statistical inference known as analysis of variance. This book discusses as well the fundamental principles of testing statistical hypotheses by providing the reader with an idea of the basic problem and its relation to practice. The final chapter deals with the problem of estimation and the Neyman theory of confidence intervals. This book is a valuable resource for undergraduate university students who are majoring in mathematics. Students who are majoring in physics and who are inclined toward abstract mathematics will also find this book useful.

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Information

Publisher
Academic Press
Year
2014
Print ISBN
9781483200118
eBook ISBN
9781483225142
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. An Introduction to Probability and Mathematical Statistics
  3. Copyright Page
  4. Table of Contents
  5. Dedication
  6. Preface
  7. Chapter 1. Events and Probabilities
  8. Chapter 2. Dependent and Independent Events
  9. Chapter 3. Random Variables and Probability Distributions
  10. Chapter 4. Discrete Distributions
  11. Chapter 5. Absolutely Continuous Distributions
  12. Chapter 6. Some Special Absolutely Continuous Distributions
  13. Chapter 7. Expectation and Limit Theorems
  14. Chapter 8. Point Estimation
  15. Chapter 9. Notes on Matrix Theory
  16. Chapter 10. The Multivariate Normal Distribution
  17. Chapter 11. Testing Statistical Hypotheses: Simple Hypothesis vs. Simple Alternative
  18. Chapter 12. Testing Simple and Composite Hypotheses
  19. Chapter 13. Confidence Intervals
  20. Suggested Reading
  21. Tables I—IV
  22. Index

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Yes, you can access An Introduction to Probability and Mathematical Statistics by Howard G. Tucker, Ralph P. Boas 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.