Mathematical model and computer analysis of tests for homogeneity of "dose-effect" dependence
The given work is devoted to the comparison of two tests for homogeneity: chi-square test based on contingency tables of 2 × 2 and test for homogeneity based on asymptotic distributions of the summarized square error of a distribution function estimators in the model of "dose-effect" depen...
Main Authors: | , |
---|---|
Format: | Article |
Language: | Russian |
Published: |
Institute of Computer Science
2012-06-01
|
Series: | Компьютерные исследования и моделирование |
Subjects: | |
Online Access: | http://crm.ics.org.ru/uploads/crmissues/crm_2012_2/12203.pdf |
id |
doaj-9bd0ae07b0f2452dbf007067ab04e0b7 |
---|---|
record_format |
Article |
spelling |
doaj-9bd0ae07b0f2452dbf007067ab04e0b72020-11-24T21:51:52ZrusInstitute of Computer ScienceКомпьютерные исследования и моделирование2076-76332077-68532012-06-014226727310.20537/2076-7633-2012-4-2-267-2731887Mathematical model and computer analysis of tests for homogeneity of "dose-effect" dependenceMikhail S. TikhovTatyana S. BorodinaThe given work is devoted to the comparison of two tests for homogeneity: chi-square test based on contingency tables of 2 × 2 and test for homogeneity based on asymptotic distributions of the summarized square error of a distribution function estimators in the model of "dose-effect" dependence. The evaluation of test power is performed by means of computer simulation. In order to design efficiency functions the method of kernel regression estimator based on Nadaray-Watson estimator is used.http://crm.ics.org.ru/uploads/crmissues/crm_2012_2/12203.pdfa model of “dose–effect” dependencea nonparametric method of kernel regression estimatorNadaray–Watson estimatortests for homogeneity |
collection |
DOAJ |
language |
Russian |
format |
Article |
sources |
DOAJ |
author |
Mikhail S. Tikhov Tatyana S. Borodina |
spellingShingle |
Mikhail S. Tikhov Tatyana S. Borodina Mathematical model and computer analysis of tests for homogeneity of "dose-effect" dependence Компьютерные исследования и моделирование a model of “dose–effect” dependence a nonparametric method of kernel regression estimator Nadaray–Watson estimator tests for homogeneity |
author_facet |
Mikhail S. Tikhov Tatyana S. Borodina |
author_sort |
Mikhail S. Tikhov |
title |
Mathematical model and computer analysis of tests for homogeneity of "dose-effect" dependence |
title_short |
Mathematical model and computer analysis of tests for homogeneity of "dose-effect" dependence |
title_full |
Mathematical model and computer analysis of tests for homogeneity of "dose-effect" dependence |
title_fullStr |
Mathematical model and computer analysis of tests for homogeneity of "dose-effect" dependence |
title_full_unstemmed |
Mathematical model and computer analysis of tests for homogeneity of "dose-effect" dependence |
title_sort |
mathematical model and computer analysis of tests for homogeneity of "dose-effect" dependence |
publisher |
Institute of Computer Science |
series |
Компьютерные исследования и моделирование |
issn |
2076-7633 2077-6853 |
publishDate |
2012-06-01 |
description |
The given work is devoted to the comparison of two tests for homogeneity: chi-square test based on contingency tables of 2 × 2 and test for homogeneity based on asymptotic distributions of the summarized square error of a distribution function estimators in the model of "dose-effect" dependence. The evaluation of test power is performed by means of computer simulation. In order to design efficiency functions the method of kernel regression estimator based on Nadaray-Watson estimator is used. |
topic |
a model of “dose–effect” dependence a nonparametric method of kernel regression estimator Nadaray–Watson estimator tests for homogeneity |
url |
http://crm.ics.org.ru/uploads/crmissues/crm_2012_2/12203.pdf |
work_keys_str_mv |
AT mikhailstikhov mathematicalmodelandcomputeranalysisoftestsforhomogeneityofdoseeffectdependence AT tatyanasborodina mathematicalmodelandcomputeranalysisoftestsforhomogeneityofdoseeffectdependence |
_version_ |
1725878073345179648 |