@article{MAKHILLJEAS2019141918505,
    title = {Rank Estimators Versus Least Square Estimators for Estimating the
Parameters of Semiparametric Accelerated Failure Time Model},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {19},
    pages = {7069-7071},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.7069.7071},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.7069.7071},
    author = {Mostafa and},
    keywords = {Accelerated failure time model,rank-based inference,least square method,semiparametric method,censored data,linear regression,biostatistics},
    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.}
    }