TY  - JOUR
T1  - Rank Estimators Versus Least Square Estimators for Estimating the
Parameters of Semiparametric Accelerated Failure Time Model
AU - Karimi, Mostafa AU - Akma Ibrahim, Noor 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 19
SP  - 7069
EP  - 7071
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.7069.7071
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.7069.7071
KW  - Accelerated failure time model
KW  -rank-based inference
KW  -least square method
KW  -semiparametric method
KW  -censored data
KW  -linear regression
KW  -biostatistics
AB  - 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.
ER  -