Probability Theory and Mathematical Statistics for Engineers
eBook - ePub

Probability Theory and Mathematical Statistics for Engineers

  1. 468 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Probability Theory and Mathematical Statistics for Engineers

Book details
Table of contents
Citations

About This Book

Probability Theory and Mathematical Statistics for Engineers focuses on the concepts of probability theory and mathematical statistics for finite-dimensional random variables.

The bookunderscores the probabilities of events, random variables, and numerical characteristics of random variables. Discussions focus on canonical expansions of random vectors, second-order moments of random vectors, generalization of the density concept, entropy of a distribution, direct evaluation of probabilities, and conditional probabilities. The text then examines projections of random vectors and their distributions, including conditional distributions of projections of a random vector, conditional numerical characteristics, and information contained in random variables.

The book elaborates on the functions of random variables and estimation of parameters of distributions. Topics include frequency as a probability estimate, estimation of statistical characteristics, estimation of the expectation and covariance matrix of a random vector, and testing the hypotheses on the parameters of distributions. The text then takes a look at estimator theory and estimation of distributions.

The book is a vital source of data for students, engineers, postgraduates of applied mathematics, and other institutes of higher technical education.

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Yes, you can access Probability Theory and Mathematical Statistics for Engineers by V. S. Pugachev 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
Pergamon
Year
2014
ISBN
9781483190501

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Other Titles of Interest
  5. Copyright
  6. PREFACE
  7. Chapter 1: PROBABILITIES OF EVENTS
  8. Chapter 2: RANDOM VARIABLES
  9. Chapter 3: NUMERICAL CHARACTERISTICS OF RANDOM VARIABLES
  10. Chapter 4: PROJECTIONS OF RANDOM VECTORS AND THEIR DISTRIBUTIONS
  11. Chapter 5: FUNCTIONS OF RANDOM VARIABLES
  12. Chapter 6: ESTIMATION OF PARAMETERS OF DISTRIBUTIONS
  13. Chapter 7: ESTIMATOR THEORY
  14. Chapter 8: ESTIMATION OF DISTRIBUTIONS
  15. Chapter 9: STATISTICAL MODELS, I
  16. Chapter 10: STATISTICAL MODELS, II
  17. APPENDICES
  18. MAIN NOTATIONS
  19. REFERENCES
  20. INDEX