Likelihood Inference In Parallel Systems Regression Models With Censored Data
The work in this thesis is concerned with the investigation of the finite sample performance of asymptotic inference procedures based on the likelihood function when applied to the regression model based on parallel systems with censored data. The study includes investigating the adequacy of thes...
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| Format: | Thesis |
| Language: | English English |
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1997
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| Online Access: | http://psasir.upm.edu.my/id/eprint/11294/ http://psasir.upm.edu.my/id/eprint/11294/1/FSAS_1997_3_A.pdf |
| _version_ | 1848841610522001408 |
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| author | S.M.Baklizi, Ayman |
| author_facet | S.M.Baklizi, Ayman |
| author_sort | S.M.Baklizi, Ayman |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The work in this thesis is concerned with the investigation of the finite
sample performance of asymptotic inference procedures based on the likelihood
function when applied to the regression model based on parallel systems with
censored data. The study includes investigating the adequacy of these inferential
procedures as well as investigating the relative performances of asymptotically
equivalent likelihood-based statistics in small samples.
The maximum likelihood estimator of the parameters of this model is not
available in closed form. Thus, its actual sampling distribution is intractable. A
simulation study is conducted to investigate the bias, the finite sample variance, the
asymptotic variance obtained from the inverse of the observed Fisher information
matrix, the adequacy of this approximate asymptotic variance, and the mean squared |
| first_indexed | 2025-11-15T07:45:58Z |
| format | Thesis |
| id | upm-11294 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T07:45:58Z |
| publishDate | 1997 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-112942014-05-16T09:30:07Z http://psasir.upm.edu.my/id/eprint/11294/ Likelihood Inference In Parallel Systems Regression Models With Censored Data S.M.Baklizi, Ayman The work in this thesis is concerned with the investigation of the finite sample performance of asymptotic inference procedures based on the likelihood function when applied to the regression model based on parallel systems with censored data. The study includes investigating the adequacy of these inferential procedures as well as investigating the relative performances of asymptotically equivalent likelihood-based statistics in small samples. The maximum likelihood estimator of the parameters of this model is not available in closed form. Thus, its actual sampling distribution is intractable. A simulation study is conducted to investigate the bias, the finite sample variance, the asymptotic variance obtained from the inverse of the observed Fisher information matrix, the adequacy of this approximate asymptotic variance, and the mean squared 1997 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/11294/1/FSAS_1997_3_A.pdf S.M.Baklizi, Ayman (1997) Likelihood Inference In Parallel Systems Regression Models With Censored Data. PhD thesis, Universiti Putra Malaysia. Inference Censored observations (Statistics) English |
| spellingShingle | Inference Censored observations (Statistics) S.M.Baklizi, Ayman Likelihood Inference In Parallel Systems Regression Models With Censored Data |
| title | Likelihood Inference In Parallel Systems Regression Models With Censored Data
|
| title_full | Likelihood Inference In Parallel Systems Regression Models With Censored Data
|
| title_fullStr | Likelihood Inference In Parallel Systems Regression Models With Censored Data
|
| title_full_unstemmed | Likelihood Inference In Parallel Systems Regression Models With Censored Data
|
| title_short | Likelihood Inference In Parallel Systems Regression Models With Censored Data
|
| title_sort | likelihood inference in parallel systems regression models with censored data |
| topic | Inference Censored observations (Statistics) |
| url | http://psasir.upm.edu.my/id/eprint/11294/ http://psasir.upm.edu.my/id/eprint/11294/1/FSAS_1997_3_A.pdf |