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

Mostafa Karimi and Noor Akma Ibrahim
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Noor Akma Ibrahim: Department of Mathematics, University Putra Malaysia, Malaysia

Biostatistics and Biometrics Open Access Journal, 2019, vol. 9, issue 2, 34-36

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 paper, both inference procedures are considered, their advantages and disadvantages are explained, and their similarities and differences are discussed.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:9:y:2019:i:2:p:34-36

DOI: 10.19080/BBOAJ.2019.09.555757

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