WEIBULL SEMIPARAMETRIC REGRESSION MODELS UNDER RANDOM CENSORSHIP

Authors

  • Mohamed Abd El-Monsef Tanta University, Faculty of Science
  • Elhoussainy Rady ISSR, Cairo University
  • Ayat Sobhy Tanta University, Faculty of Science

DOI:

https://doi.org/10.24297/jam.v11i8.1209

Abstract

 Semiparametric regression is concerned with the flexible combination of non-linear functional relationships in regression analysis. The main advantage of the semiparametric regression models is that any application benefits from regression analysis can also benefit from the semiparametric regression. In this paper, we derived a consistent estimator of parametric portion and nonparametric portion in Weibull semi-parametric regression models under random censorship.

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Published

2015-12-22

How to Cite

Abd El-Monsef, M., Rady, E., & Sobhy, A. (2015). WEIBULL SEMIPARAMETRIC REGRESSION MODELS UNDER RANDOM CENSORSHIP. JOURNAL OF ADVANCES IN MATHEMATICS, 11(8), 5577–5582. https://doi.org/10.24297/jam.v11i8.1209

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Section

Articles