Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 19
Page No. 7069 - 7071

Rank Estimators Versus Least Square Estimators for Estimating the Parameters of Semiparametric Accelerated Failure Time Model

Authors : Mostafa Karimi and Noor Akma Ibrahim

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, 2019. Rank Estimators Versus Least Square Estimators for Estimating the Parameters of Semiparametric Accelerated Failure Time Model. Journal of Engineering and Applied Sciences, 14: 7069-7071.

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