Distribution Theory
eBook - ePub

Distribution Theory

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

Distribution Theory

About this book

First published in 1972, Distribution Theory follows on from the author's earlier book, Descriptive Statistics and Probability Theory, but may easily be followed by any reader who has not studied that particular book but who has gained some knowledge of numerical distributions and basic probability theory. The author has attempted to steer a middle course between those textbooks which concentrate solely on statistical calculations and those which concentrate solely on statistical theory. It is his belief that statistics is best understood through a mixture of practical numerical work and knowledge of the corresponding theory.

In this book, probability distributions are shown to develop out of different physical situations that are commonly met in the physical world. The three most commonly used- the binomial, Poisson, and normal distributions- are dealt in detail, but other less commonly used distributions are also introduced. By showing the different situations to which these distributions apply, their individuality is emphasised. The author then illustrates how these probability distributions are used in sampling theory. The book concludes with a chapter which shows how apparently different parts of statistics can be seen to interrelate through statistical theory. This is an interesting reference work for students of mathematics, statistics and economics.

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Yes, you can access Distribution Theory by Robert Arthur Barks in PDF and/or ePUB format, as well as other popular books in Business & Macroeconomics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Original Title Page
  6. Original Copyright Page
  7. Contents
  8. Dedication
  9. Introduction
  10. 1 Statistical Models
  11. 2 Mathematical Expectation
  12. 3 The Binomial Distribution
  13. 4 The Poisson Distribution
  14. 5 The Normal Distribution
  15. 6 Some Less Common Distributions
  16. 7 Moment Generating Functions
  17. 8 Large Sampling Theory
  18. 9 Small Sampling Theory
  19. 10 Chi Squared
  20. 11 Some Connections in Statistical Theory