Description

• Title:
  Statistical Tests Based on Empty Cells
• Creator:
  Domański, Czesław
• Contributor:
  Uniwersytet Łódzki; Wydział Ekonomiczno-Socjologiczny; Instytut Statystyki i Demografii
• Description:
  In professional literature on statistics, a constantly growing interest is observed in non-parametric methods. Commonly these methods are based on counting, rank or position statistics and on a number or length of series. In this paper, the least popular tests, namely tests based on a number of empty cells, are presented. David-Hellwig test and a two-sample consistency test are considered. Empirical power of the tests is presented in comparison to classic tests: Kolmogorov and Shapio-Wilk test for testing normality of a distribution and t-Student’s and Wilcoxon tests for testing consistency of two distributions.
• Object availability:
  free access
• Date:
  2013.06.03;
  2012
• Type:
  Article
• Language:
  English
• Format:
  application/pdf
• Publisher:
  Wydawnictwo Uniwersytetu Łódzkiego
• Relation:
  Acta Universitatis Lodziensis, Folia Oeconomica;269
• Subject:
  nonparametric tests;
  tests empty cells;
  student t-tests;
  Wilcoxon test
• Identifier:
  0208-6018;
  http://hdl.handle.net/11089/1882
• Data provider:
  Repozytorium Uniwersytetu Łódzkiego
• Can I use it?:
  seek permission
• Type:
  image