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Chi-square tests for generalized exponential distributions with censored data


 
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1. Title Title of document Chi-square tests for generalized exponential distributions with censored data
 
2. Creator Author's name, affiliation, country Nacira Seddik-Ameur; laboratory of probability and statistics LaPS-Badji Mokhtar university-Annaba-Algeria; Algeria
 
2. Creator Author's name, affiliation, country Khaoula Aidi; laboratory of probability and statistics LaPS -Badji Mokhtar annaba; Algeria
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Accelerated failure time models- Chi-square test- Maximum likelihood estimation- Reliability
 
4. Description Abstract Generalized exponential models have numerous applications particularly in reliability studies. Using the approach proposed by Bagdonavicius and Nikulin for censored data, we propose the construction of modified chi-square goodness-of-fit tests for the generalized exponentiated exponential model (GEE) and an accelerated failure time model with the generalized exponentiated exponential distribution as the baseline (AFT-GEE). Based on maximum likelihood estimators on initial data, these statistics recover the information lost while grouping data and follow chi-square distributions. The elements of the criteria tests are given explicitly. Numerical examples from simulated samples and real data have been presented to illustrate the feasibility of the proposed tests.
 
5. Publisher Organizing agency, location Coordinamento SIBA - Università del Salento
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2016-10-14
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format pdf
 
10. Identifier Uniform Resource Identifier http://siba-ese.unisalento.it/index.php/ejasa/article/view/15581
 
10. Identifier Digital Object Identifier 10.1285/i20705948v9n2p371
 
11. Source Publication/conference title; vol., no. (year) Electronic Journal of Applied Statistical Analysis; Vol 9, No 2 (2016): Electronic Journal of Applied Statistical Analysis
 
12. Language English=en en
 
13. Relation Supp. Files
 
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