On Two-sided Length Biased Inverse Gaussian Distribution
The new lifetime distribution based on the non-classical parametrization model called the two-sided length biased inverse Gaussian distribution is introduced. The physical phenomena of this situation can be explained in the case when a crack develops from two sides. Some statistical properties of th...
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Science Faculty of Chiang Mai University
2019
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Online Access: | http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9673 http://cmuir.cmu.ac.th/jspui/handle/6653943832/64249 |
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th-cmuir.6653943832-642492019-05-07T09:59:54Z On Two-sided Length Biased Inverse Gaussian Distribution Teerawat Simmachan Kamon Budsaba Andrei Volodin The new lifetime distribution based on the non-classical parametrization model called the two-sided length biased inverse Gaussian distribution is introduced. The physical phenomena of this situation can be explained in the case when a crack develops from two sides. Some statistical properties of the distribution such as reciprocal properties and the first four moments are investigated. The conventional point estimation, method of moment, is developed to estimate the parameters of the distribution together with asymptotic analysis of the proposed estimators. In order to evaluate the performance of the suggested estimators, Monte Carlo simulation studies are conducted. Furthermore, real data sets in a practical setting are used to illustrate the presented estimation method. Concluding remarks and discussions are also provided. 2019-05-07T09:59:54Z 2019-05-07T09:59:54Z 2018 บทความวารสาร 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9673 http://cmuir.cmu.ac.th/jspui/handle/6653943832/64249 Eng Science Faculty of Chiang Mai University |
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The new lifetime distribution based on the non-classical parametrization model called the two-sided length biased inverse Gaussian distribution is introduced. The physical phenomena of this situation can be explained in the case when a crack develops from two sides. Some statistical properties of the distribution such as reciprocal properties and the first four moments are investigated. The conventional point estimation, method of moment, is developed to estimate the parameters of the distribution together with asymptotic analysis of the proposed estimators. In order to evaluate the performance of the suggested estimators, Monte Carlo simulation studies are conducted. Furthermore, real data sets in a practical setting are used to illustrate the presented estimation method. Concluding remarks and discussions are also provided. |
format |
บทความวารสาร |
author |
Teerawat Simmachan Kamon Budsaba Andrei Volodin |
spellingShingle |
Teerawat Simmachan Kamon Budsaba Andrei Volodin On Two-sided Length Biased Inverse Gaussian Distribution |
author_facet |
Teerawat Simmachan Kamon Budsaba Andrei Volodin |
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Teerawat Simmachan |
title |
On Two-sided Length Biased Inverse Gaussian Distribution |
title_short |
On Two-sided Length Biased Inverse Gaussian Distribution |
title_full |
On Two-sided Length Biased Inverse Gaussian Distribution |
title_fullStr |
On Two-sided Length Biased Inverse Gaussian Distribution |
title_full_unstemmed |
On Two-sided Length Biased Inverse Gaussian Distribution |
title_sort |
on two-sided length biased inverse gaussian distribution |
publisher |
Science Faculty of Chiang Mai University |
publishDate |
2019 |
url |
http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9673 http://cmuir.cmu.ac.th/jspui/handle/6653943832/64249 |
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