Probability Theory and Statistical Applications : : A Profound Treatise for Self-Study /

Probability Theory and Statistical Applications : : A Profound Treatise for Self-Study / / Peter Zörnig.

This accessible and easy-to-read book provides many examples to illustrate diverse topics in probability and statistics, from initial concepts up to advanced calculations. Special attention is devoted e.g. to independency of events, inequalities in probability and functions of random variables. The...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus eBook-Package 2016
VerfasserIn:
Zörnig, Peter,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2016]
©2016
Year of Publication:2016
Language:English
Series:De Gruyter Textbook
Online Access:
Physical Description:1 online resource (IX, 284 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • 1. Mathematics revision
  • 2. Introduction to probability
  • 3. Finite sample spaces
  • 4. Conditional probability and independence
  • 5. One-dimensional random variables
  • 6. Functions of random variables
  • 7. Bi-dimensional random variables
  • 8. Characteristics of random variables
  • 9. Discrete probability models
  • 10. Continuous probability models
  • 11. Generating functions in probability
  • 12. Sums of many random variables
  • 13. Samples and sampling distributions
  • 14. Estimation of parameters
  • 15. Hypothesis tests
  • Appendix
  • References
  • Index

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