WEIBULL SEMIPARAMETRIC REGRESSION MODELS UNDER RANDOM CENSORSHIP
Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2015, Vol 11, Issue 8
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.
Authors and Affiliations
Mohamed Abd El-Monsef, Elhoussainy Rady, Ayat Sobhy
Keywords
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- EP ID EP651647
- DOI 10.24297/jam.v11i8.1209
- Views 141
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