Statistics in Theory and Practice /

Statistics in Theory and Practice / / Robert Lupton.

Aimed at a diverse scientific audience, including physicists, astronomers, chemists, geologists, and economists, this book explains the theory underlying the classical statistical methods. Its level is between introductory "how to" texts and intimidating mathematical monographs. A reader w...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Archive 1927-1999
VerfasserIn:
Lupton, Robert,
Place / Publishing House:Princeton, NJ : : Princeton University Press, , [2020]
©1993
Year of Publication:2020
Language:English
Online Access:
Physical Description:1 online resource (200 p.) :; 10 line illus.
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Table of Contents:
  • Frontmatter
  • Contents
  • Preface
  • 1. Introduction
  • 2. Preliminaries
  • 3. Some Common Probability Distributions
  • 4. Distributions Related to the Gaussian
  • 5. Sampling
  • 6. Distributions of Sample Statistics
  • 7. Bayes' Theorem and Maximum Likelihood
  • 8. Confidence Intervals
  • 9. Hypothesis Testing
  • 10. The Theory of Maximum Likelihood Estimators
  • 11. Least Squares Fitting for Linear Models
  • 12. Hypothesis Testing in the Linear Model
  • 13. Rank Correlation Coefficients
  • 14. Tests of Fit
  • 15. Robust Tests for Means
  • Epilogue
  • Some Numerical Exercises
  • References
  • Answers
  • Symbol Index
  • Problem Index
  • Index

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