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...

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Main Authors: Karimi, Mostafa, Ibrahim, Noor Akma
Format: Article
Language:English
Published: Juniper Publishers 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81927/1/Rank%20estimators%20versus%20.pdf
http://psasir.upm.edu.my/id/eprint/81927/
https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555757.php
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Institution: Universiti Putra Malaysia
Language: English
id my.upm.eprints.81927
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spelling my.upm.eprints.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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.
format Article
author Karimi, Mostafa
Ibrahim, Noor Akma
spellingShingle Karimi, Mostafa
Ibrahim, Noor Akma
Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model
author_facet Karimi, Mostafa
Ibrahim, Noor Akma
author_sort Karimi, Mostafa
title 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_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_sort rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model
publisher Juniper Publishers
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/81927/1/Rank%20estimators%20versus%20.pdf
http://psasir.upm.edu.my/id/eprint/81927/
https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.555757.php
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