Abstract
Incorporating the classical smoothing lemma of Hille (1948) , as adapted in Chaubey and Sen (1996), smooth isotonic estimators of density, hazard, mean residual life, and other functionals of (survival) distribution functions are proposed here. Along with the computational aspects, their (asymptotic) properties are discussed. Some extensions to the case of random censoring are also considered.
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