top banner top banner
index
RegularArticles
ReplicationStudies
EditorialBoard
Instructions4Authors
JournalGuidelines
Messages
Submission

Search publications

New statistical inference for the Weibull distribution

Full text PDF
Bibliographic information: BibTEX format RIS format XML format APA style
Cited references information: BibTEX format APA style
Doi: 10.20982/tqmp.11.3.p139

Zhao, X. , Cheng, W. , Zhang, Y. , Zhang, Q. , Yang, Z.
139-147
Keywords: Weibull distribution , Gamma distribution , Dirichlet distribution , Rejection region , Power
(no sample data)   (no appendix)

Weibull distribution has become a popular tool for modeling life data and improving growth in the field of reliability. The successful application of Weibull distribution to real data depends on the statistical power of hypotheses tests to a large extent. Here we propose two methods to test the shape parameter of a two-parameterWeibull distribution, and its confidence interval is considered. Simulation studies show that coverage of the confidence intervals is close to its desired confidence level, and the two proposed methods exhibited satisfactory performance. A real example employing a Boeing air-conditioning system development study is presented to illustrate the proposed methods.


Pages © TQMP;
Template last modified: 2017-03-12.
Page consulted on .
Be informed of the upcoming issues with RSS feed: RSS icon RSS