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Orawan Supapueng. Distinguishing distributions based on the generalized gamma distribution. Doctoral Degree(Statistics). Thammasat University. Thammasat University Library. : Thammasat University, 2014.
Distinguishing distributions based on the generalized gamma distribution
Name: Orawan Supapueng
keyword:
Method of moment estimate
LCSH:
Estimation theory
LCSH:
Gamma rays
Abstract:
Generalized Exponential, Weibull and Gamma distributions are the most popular in analyzing skewed lifetime data. They have many similar properties. Nevertheless they have some different properties, especially when the lifetime data analysis emphasizes the tail of the distribution. It will be more effcient if we can select the correct distribution for given data. Therefore in this article, we investigate the asymptotic method for distinguishing these between distributions. It is observed that the asymptotic distribution is independent of a nuisance parameter. We perform some numerical experiments to study how the asymptotic method works for different sample sizes
Thammasat University. Thammasat University Library
Address:
BANGKOK
Email:
preserv@tu.ac.th
Name: Kamon Budsaba
Role:
advisor
Name: Volodin, Andrei
Role:
co-advisor
Created:
2014
Modified:
2021-12-14
Issued:
2021-12-14
วิทยานิพนธ์/Thesis
application/pdf
eng
DegreeName: Doctor of Philosophy
Level: Doctoral Degree
Descipline: Statistics
Grantor: Thammasat University
©copyrights Thammasat University
RightsAccess:
ใช้เวลา
0.025986 วินาที
Orawan Supapueng
| Title | Contributor | Type |
|---|---|---|
| Distinguishing distributions based on the generalized gamma distribution
มหาวิทยาลัยธรรมศาสตร์ Orawan Supapueng | Kamon Budsaba Volodin, Andrei | วิทยานิพนธ์/Thesis |
Kamon Budsaba
Volodin, Andrei