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On Two-sided Length Biased Inverse Gaussian Distribution


Paper Type 
Contributed Paper
Title 
On Two-sided Length Biased Inverse Gaussian Distribution
Author 
Teerawat Simmachan, Kamon Budsaba and Andrei Volodin
Email 
teerawat@mathstat.sci.tu.ac.th
Abstract:
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.
Start & End Page 
2826 - 2837
Received Date 
2015-04-27
Revised Date 
Accepted Date 
2018-07-31
Full Text 
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Keyword 
method of moment estimate, lifetime distribution, parametrization, reciprocal property, asymptotic property
Volume 
Vol.45 NO.7 (November 2018)
DOI 
SDGs
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Chiang Mai Journal of Science

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