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Introduction

  • Olivier Thas
Part of the Springer Series in Statistics book series (SSS)

Abstract

In this second part of the book we discuss statistical methods for the two-sampleand the K-sampleproblems. Whereas in the one-sample problem the objective is to compare the distribution of the sample observations with a hypothesised distribution, we are now concerned with comparing the distributions of two or more populations from which we have observations at our disposal. As both classes of problems are about comparing distributions, many of the methods developed for the former can be easily adapted to the latter. We indeed show that many names of tests come back (e.g., the Kolmogorov–Smirnov and the Anderson–Darling tests). It also further implies that many of the building blocks of Chapter 2 are useful again.

Keywords

Kernel Density Estimate Taxi Driver Darling Test Asymptotic Null Distribution Taxi Company 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Olivier Thas
    • 1
  1. 1.Department of Applied Mathematics Biometrics, and Process ControlGhent UniversityGentBelgium

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