Likelihood Based Estimation in the Logistic Model with Time Censored Data
Inference procedures based on the likelihood function are considered for the one logistic distribution with time censored data. The finite sample performances of the maximum likelihood estimator as well as the large sample likelihood inferential procedures based on the Wald, the Rao, and the like...
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| Format: | Article |
| Language: | English English |
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Universiti Putra Malaysia Press
2002
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| Online Access: | http://psasir.upm.edu.my/id/eprint/3763/1/Likelihood_Based_Estimation_in_the_Logistic_Model.pdf |
| _version_ | 1796966615814766592 |
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| author | Baklizi, Ayman |
| author_facet | Baklizi, Ayman |
| author_sort | Baklizi, Ayman |
| collection | UPM |
| description | Inference procedures based on the likelihood function are considered for the
one logistic distribution with time censored data. The finite sample performances
of the maximum likelihood estimator as well as the large sample likelihood
inferential procedures based on the Wald, the Rao, and the likelihood ratio
statistics are investigated. It is found that the obtained from the asymptotic
normal distribution of the maximum likelihood estimator are found no accurate.
It is found also that interval estimation based on the Wald and Rao statistics
need much more sample size than interval estimation based on the likelihood
ratio statistics to attain reasonable accuracy. |
| first_indexed | 2024-03-06T07:02:04Z |
| format | Article |
| id | upm.eprints-3763 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T07:02:04Z |
| publishDate | 2002 |
| publisher | Universiti Putra Malaysia Press |
| record_format | dspace |
| spelling | upm.eprints-37632013-05-27T07:11:02Z http://psasir.upm.edu.my/id/eprint/3763/ Likelihood Based Estimation in the Logistic Model with Time Censored Data Baklizi, Ayman Inference procedures based on the likelihood function are considered for the one logistic distribution with time censored data. The finite sample performances of the maximum likelihood estimator as well as the large sample likelihood inferential procedures based on the Wald, the Rao, and the likelihood ratio statistics are investigated. It is found that the obtained from the asymptotic normal distribution of the maximum likelihood estimator are found no accurate. It is found also that interval estimation based on the Wald and Rao statistics need much more sample size than interval estimation based on the likelihood ratio statistics to attain reasonable accuracy. Universiti Putra Malaysia Press 2002 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/3763/1/Likelihood_Based_Estimation_in_the_Logistic_Model.pdf Baklizi, Ayman (2002) Likelihood Based Estimation in the Logistic Model with Time Censored Data. Pertanika Journal of Science & Technology, 10 (1). pp. 55-62. ISSN 0128-7680 English |
| spellingShingle | Baklizi, Ayman Likelihood Based Estimation in the Logistic Model with Time Censored Data |
| title | Likelihood Based Estimation in the Logistic Model with Time Censored Data |
| title_full | Likelihood Based Estimation in the Logistic Model with Time Censored Data |
| title_fullStr | Likelihood Based Estimation in the Logistic Model with Time Censored Data |
| title_full_unstemmed | Likelihood Based Estimation in the Logistic Model with Time Censored Data |
| title_short | Likelihood Based Estimation in the Logistic Model with Time Censored Data |
| title_sort | likelihood based estimation in the logistic model with time censored data |
| url | http://psasir.upm.edu.my/id/eprint/3763/1/Likelihood_Based_Estimation_in_the_Logistic_Model.pdf |
| work_keys_str_mv | AT bakliziayman likelihoodbasedestimationinthelogisticmodelwithtimecensoreddata |