Handbook of Probability
eBook - ePub

Handbook of Probability

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

Handbook of Probability

About this book

THE COMPLETE COLLECTION NECESSARY FOR A CONCRETE UNDERSTANDING OF PROBABILITY

Written in a clear, accessible, and comprehensive manner, the Handbook of Probability presents the fundamentals of probability with an emphasis on the balance of theory, application, and methodology. Utilizing basic examples throughout, the handbook expertly transitions between concepts and practice to allow readers an inclusive introduction to the field of probability.


The book provides a useful format with self-contained chapters, allowing the reader easy and quick reference. Each chapter includes an introduction, historical background, theory and applications, algorithms, and exercises. The Handbook of Probability offers coverage of:

  • Probability Space 
  • Probability Measure
  • Random Variables
  • Random Vectors in Rn
  • Characteristic Function
  • Moment Generating Function
  • Gaussian Random Vectors
  • Convergence Types
  • Limit Theorems

The Handbook of Probability is an ideal resource for researchers and practitioners in numerous fields, such as mathematics, statistics, operations research, engineering, medicine, and finance, as well as a useful text for graduate students.

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Yes, you can access Handbook of Probability by Ionut Florescu,Ciprian A. Tudor in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2013
Print ISBN
9780470647271
eBook ISBN
9781118593097
Edition
1
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Cover
  2. Wiley Handbooks in Applied Statistics
  3. Title Page
  4. Copyright
  5. List of Figures
  6. Preface
  7. Introduction
  8. Chapter One: Probability Space
  9. Chapter Two: Probability Measure
  10. Chapter Three: Random Variables: Generalities
  11. Chapter Four: Random Variables: The Discrete Case
  12. Chapter Five: Random Variables: The Continuous Case
  13. Chapter Six: Generating Random Variables
  14. Chapter Seven: Random Vectors in Rn
  15. Chapter Eight: Characteristic Function
  16. Chapter Nine: Moment-Generating Function
  17. Chapter Ten: Gaussian Random Vectors
  18. Chapter Eleven: Convergence Types. Almost Sure Convergence. Lp-Convergence. Convergence in Probability
  19. Chapter Twelve: Limit Theorems
  20. Chapter Thirteen: Appendix A: Integration Theory. General Expectations
  21. Chapter Fourteen: Appendix B: Inequalities Involving Random Variables and Their Expectations
  22. Bibliography
  23. Index