Baysian and NonBaysian Methods to Estimate the two parameters of Logistic Distribution
In this paper ,the problem of point estimation for the two parameters of logistic distribution has been investigated using simulation technique. The rank sampling set estimator method which is one of the Non_Baysian procedure and Lindley approximation estimator method which is one of the Baysian me...
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College of Science for Women, University of Baghdad
2014-12-01
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Online Access: | http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/2057 |
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doaj-fc731a423ef54a77ab7f511c3f852d612020-11-24T21:28:35ZaraCollege of Science for Women, University of BaghdadBaghdad Science Journal2078-86652411-79862014-12-0111410.21123/bsj.11.4.1612-1623Baysian and NonBaysian Methods to Estimate the two parameters of Logistic DistributionBaghdad Science JournalIn this paper ,the problem of point estimation for the two parameters of logistic distribution has been investigated using simulation technique. The rank sampling set estimator method which is one of the Non_Baysian procedure and Lindley approximation estimator method which is one of the Baysian method were used to estimate the parameters of logistic distribution. Comparing between these two mentioned methods by employing mean square error measure and mean absolute percentage error measure .At last simulation technique used to generate many number of samples sizes to compare between these methods.http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/2057logistic distribution, Lindley approximation method, Rank Sampling Set Method, Mean square error , Mean absolute percentage error , simulation technique . |
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DOAJ |
language |
Arabic |
format |
Article |
sources |
DOAJ |
author |
Baghdad Science Journal |
spellingShingle |
Baghdad Science Journal Baysian and NonBaysian Methods to Estimate the two parameters of Logistic Distribution Baghdad Science Journal logistic distribution, Lindley approximation method, Rank Sampling Set Method, Mean square error , Mean absolute percentage error , simulation technique . |
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Baghdad Science Journal |
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Baghdad Science Journal |
title |
Baysian and NonBaysian Methods to Estimate the two parameters of Logistic Distribution |
title_short |
Baysian and NonBaysian Methods to Estimate the two parameters of Logistic Distribution |
title_full |
Baysian and NonBaysian Methods to Estimate the two parameters of Logistic Distribution |
title_fullStr |
Baysian and NonBaysian Methods to Estimate the two parameters of Logistic Distribution |
title_full_unstemmed |
Baysian and NonBaysian Methods to Estimate the two parameters of Logistic Distribution |
title_sort |
baysian and nonbaysian methods to estimate the two parameters of logistic distribution |
publisher |
College of Science for Women, University of Baghdad |
series |
Baghdad Science Journal |
issn |
2078-8665 2411-7986 |
publishDate |
2014-12-01 |
description |
In this paper ,the problem of point estimation for the two parameters of logistic distribution has been investigated using simulation technique. The rank sampling set estimator method which is one of the Non_Baysian procedure and Lindley approximation estimator method which is one of the Baysian method were used to estimate the parameters of logistic distribution. Comparing between these two mentioned methods by employing mean square error measure and mean absolute percentage error measure .At last simulation technique used to generate many number of samples sizes to compare between these methods. |
topic |
logistic distribution, Lindley approximation method, Rank Sampling Set Method, Mean square error , Mean absolute percentage error , simulation technique . |
url |
http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/2057 |
work_keys_str_mv |
AT baghdadsciencejournal baysianandnonbaysianmethodstoestimatethetwoparametersoflogisticdistribution |
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