Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model
Rank-based method and least square approach are the most common techniques for estimating the regression parameters of accelerated failure time model. In this study, both inference procedures are considered their advantages and disadvantages are explained and their similarities and differences are d...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Juniper Publishers
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/81927/ http://psasir.upm.edu.my/id/eprint/81927/1/Rank%20estimators%20versus%20.pdf |
| _version_ | 1848859200150568960 |
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| author | Karimi, Mostafa Ibrahim, Noor Akma |
| author_facet | Karimi, Mostafa Ibrahim, Noor Akma |
| author_sort | Karimi, Mostafa |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Rank-based method and least square approach are the most common techniques for estimating the regression parameters of accelerated failure time model. In this study, both inference procedures are considered their advantages and disadvantages are explained and their similarities and differences are discussed. |
| first_indexed | 2025-11-15T12:25:33Z |
| format | Article |
| id | upm-81927 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:25:33Z |
| publishDate | 2019 |
| publisher | Juniper Publishers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-819272021-09-08T09:16:44Z http://psasir.upm.edu.my/id/eprint/81927/ Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model Karimi, Mostafa Ibrahim, Noor Akma Rank-based method and least square approach are the most common techniques for estimating the regression parameters of accelerated failure time model. In this study, both inference procedures are considered their advantages and disadvantages are explained and their similarities and differences are discussed. Juniper Publishers 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81927/1/Rank%20estimators%20versus%20.pdf Karimi, Mostafa and Ibrahim, Noor Akma (2019) Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model. Biostatistics and Biometrics, 9 (2). pp. 7069-7071. ISSN 2573-2633 https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555757.php 10.19080/BBOAJ.2019.09.555757 |
| spellingShingle | Karimi, Mostafa Ibrahim, Noor Akma Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model |
| title | Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model |
| title_full | Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model |
| title_fullStr | Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model |
| title_full_unstemmed | Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model |
| title_short | Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model |
| title_sort | rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model |
| url | http://psasir.upm.edu.my/id/eprint/81927/ http://psasir.upm.edu.my/id/eprint/81927/ http://psasir.upm.edu.my/id/eprint/81927/ http://psasir.upm.edu.my/id/eprint/81927/1/Rank%20estimators%20versus%20.pdf |