An Alternative Goodness-of-fit Test for a Gamma Distribution Based on the Independence Property

The focus of this study is primarily on testing whether data come from a gamma distribution, one of the most important distributions used to model physial quantities that take positive values. To this end, a test statistic has been developed based on the independence property ofa gama distribution....

Full description

Saved in:
Bibliographic Details
Main Authors: Bandhita Plubin, Pachitjanut Siripanich
Format: บทความวารสาร
Language:English
Published: Science Faculty of Chiang Mai University 2019
Online Access:http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8306
http://cmuir.cmu.ac.th/jspui/handle/6653943832/63943
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
Language: English
id th-cmuir.6653943832-63943
record_format dspace
spelling th-cmuir.6653943832-639432019-05-07T09:59:39Z An Alternative Goodness-of-fit Test for a Gamma Distribution Based on the Independence Property Bandhita Plubin Pachitjanut Siripanich The focus of this study is primarily on testing whether data come from a gamma distribution, one of the most important distributions used to model physial quantities that take positive values. To this end, a test statistic has been developed based on the independence property ofa gama distribution. The proposed test statistic is asumptotically distributed as standard normal under the null hypothesis as the sample size approaches infinity. Extensive simulation studies indicate that the performance of the proposed test is substantially better than existing tests reported in the literature, especially in caess with samples of moderate size. The test has also been applied to honey bee transit time data to demonstrate the efficacy of the new test statistic. 2019-05-07T09:59:39Z 2019-05-07T09:59:39Z 2017 บทความวารสาร 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8306 http://cmuir.cmu.ac.th/jspui/handle/6653943832/63943 Eng Science Faculty of Chiang Mai University
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description The focus of this study is primarily on testing whether data come from a gamma distribution, one of the most important distributions used to model physial quantities that take positive values. To this end, a test statistic has been developed based on the independence property ofa gama distribution. The proposed test statistic is asumptotically distributed as standard normal under the null hypothesis as the sample size approaches infinity. Extensive simulation studies indicate that the performance of the proposed test is substantially better than existing tests reported in the literature, especially in caess with samples of moderate size. The test has also been applied to honey bee transit time data to demonstrate the efficacy of the new test statistic.
format บทความวารสาร
author Bandhita Plubin
Pachitjanut Siripanich
spellingShingle Bandhita Plubin
Pachitjanut Siripanich
An Alternative Goodness-of-fit Test for a Gamma Distribution Based on the Independence Property
author_facet Bandhita Plubin
Pachitjanut Siripanich
author_sort Bandhita Plubin
title An Alternative Goodness-of-fit Test for a Gamma Distribution Based on the Independence Property
title_short An Alternative Goodness-of-fit Test for a Gamma Distribution Based on the Independence Property
title_full An Alternative Goodness-of-fit Test for a Gamma Distribution Based on the Independence Property
title_fullStr An Alternative Goodness-of-fit Test for a Gamma Distribution Based on the Independence Property
title_full_unstemmed An Alternative Goodness-of-fit Test for a Gamma Distribution Based on the Independence Property
title_sort alternative goodness-of-fit test for a gamma distribution based on the independence property
publisher Science Faculty of Chiang Mai University
publishDate 2019
url http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=8306
http://cmuir.cmu.ac.th/jspui/handle/6653943832/63943
_version_ 1681425989327912960