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Journal of Engineering and Applied Sciences

ISSN: Online 1818-7803
ISSN: Print 1816-949x
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Rank Estimators Versus Least Square Estimators for Estimating the Parameters of Semiparametric Accelerated Failure Time Model

Mostafa Karimi and Noor Akma Ibrahim
Page: 7069-7071 | Received 21 Sep 2022, Published online: 21 Sep 2022

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https://doi.org/10.36478/jeasci.2019.7069.7071

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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.

How to cite this article:

Mostafa Karimi and Noor Akma Ibrahim. Rank Estimators Versus Least Square Estimators for Estimating the Parameters of Semiparametric Accelerated Failure Time Model.
DOI: https://doi.org/10.36478/jeasci.2019.7069.7071
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.7069.7071