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 | |
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 | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | Authors who publish with EJASA agree to the Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia License. |