Nonparametric tests for the two-sample location problem

Przemysław Grzegorzewski

Mathematica Applicanda (1991)

  • Volume: 20, Issue: 34
  • ISSN: 1730-2668

Abstract

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Let X1,X2,...,Xm and Y1,Y2,...,Yn be two independent random samples from populations with continuous distribution functions F(x) and G(x)=F(x - ) respectively. In order to test H: =0 against K:A>0 several tests can be used. Thirteen such nonparametric tests are presented here. By means of a sampling study a comparison of these tests are performed. The criteria of the power and the power index was used. Related problems are discussed as well. An algorithm (in Pascal) for computation of the critical level of the Mann-Whitney- Wilcoxon test is given also.

How to cite

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Przemysław Grzegorzewski. "Nonparametric tests for the two-sample location problem." Mathematica Applicanda 20.34 (1991): null. <http://eudml.org/doc/292800>.

@article{PrzemysławGrzegorzewski1991,
abstract = {Let X1,X2,...,Xm and Y1,Y2,...,Yn be two independent random samples from populations with continuous distribution functions F(x) and G(x)=F(x - ) respectively. In order to test H: =0 against K:A>0 several tests can be used. Thirteen such nonparametric tests are presented here. By means of a sampling study a comparison of these tests are performed. The criteria of the power and the power index was used. Related problems are discussed as well. An algorithm (in Pascal) for computation of the critical level of the Mann-Whitney- Wilcoxon test is given also.},
author = {Przemysław Grzegorzewski},
journal = {Mathematica Applicanda},
keywords = {Hypothesis testing},
language = {eng},
number = {34},
pages = {null},
title = {Nonparametric tests for the two-sample location problem},
url = {http://eudml.org/doc/292800},
volume = {20},
year = {1991},
}

TY - JOUR
AU - Przemysław Grzegorzewski
TI - Nonparametric tests for the two-sample location problem
JO - Mathematica Applicanda
PY - 1991
VL - 20
IS - 34
SP - null
AB - Let X1,X2,...,Xm and Y1,Y2,...,Yn be two independent random samples from populations with continuous distribution functions F(x) and G(x)=F(x - ) respectively. In order to test H: =0 against K:A>0 several tests can be used. Thirteen such nonparametric tests are presented here. By means of a sampling study a comparison of these tests are performed. The criteria of the power and the power index was used. Related problems are discussed as well. An algorithm (in Pascal) for computation of the critical level of the Mann-Whitney- Wilcoxon test is given also.
LA - eng
KW - Hypothesis testing
UR - http://eudml.org/doc/292800
ER -

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