Citation
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
Abstract
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.
Download File
Official URL or Download Paper: https://juniperpublishers.com/bboaj/BBOAJ.MS.ID.55...
|
![[img]](http://psasir.upm.edu.my/style/images/fileicons/text.png)
Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Institute for Mathematical Research |
| DOI Number: | https://doi.org/10.19080/BBOAJ.2019.09.555757 |
| Publisher: | Juniper Publishers |
| Keywords: | Accelerated failure time model; Rank-based inference; Least square method; Semiparametric method; Censored data; Linear regression; Biostatistics |
| Depositing User: | Mr. Sazali Mohamad |
| Date Deposited: | 08 Sep 2021 09:16 |
| Last Modified: | 08 Sep 2021 09:16 |
| Altmetrics: | http://www.altmetrics.com/details.php?domain=pasir.upm.edu.my&doi=10.19080/BBOAJ.2019.09.555757 |
| URI: | http://psasir.upm.edu.my/id/eprint/81927 |
| Statistic Details: | View Download Statistic |
Actions (login required)
 |
View Item |