Extention of Relative-Risk Power Estimator Under Dependent Random Censored Data.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Abstract:
      In this paper, the considered problem consists in estimation of the conditional survival function by right random censoring model in the presence of covariate. We propose a new estimator of the conditional survival function which is extension of relative-risk power estimator of independent censoring and study its large sample properties. We present a result of asymptotic normality with the same limiting Gaussian process as for copula-graphic estimator. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Journal of Mathematical Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)