Comparing Distributions

Comparing Distributions refers to the statistical data analysis that encompasses the traditional goodness-of-fit testing. Whereas the latter includes only formal statistical hypothesis tests for the one-sample and the K-sample problems, this book presents a more general and informative treatment by...

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Bibliographic Details
Main Author: Thas, Olivier. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2010.
Series:Springer Series in Statistics,
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-92710-7
Table of Contents:
  • Part I One-sample problems Introduction
  • Preliminaries (building blocks)
  • Graphic tools
  • Smooth tests
  • Methods based on the empirical distribution function
  • Part II Two-sample and K-sample problems Introduction
  • Preliminaries (building blocks)
  • Graphical tools
  • Some important two-sample tests
  • Smooth tests
  • Methods based on the empirical distribution function
  • Two final methods and some final thoughts.