We propose a varying-coefficient quantile regression model for survival data subject to random censoring. Motivated by the work of Yang (1999), quantilebased moments are constructed using covariate-weighted empirical cumulative hazard functions. We estimate regression parameters based on the generalized method of moments. The proposed estimators are shown to be consistent and asymptotically nor...

This paper shows how to estimate models by the generalized method of moments and the generalized empirical likelihood using the R package gmm. A brief discussion is offered on the theoretical aspects of both methods and the functionality of the package is presented through several examples in economics and finance. It is a modified version of Chaussé (2010) published in the Journal of Statistic...

Description The package implements the statistical theory of L-moments including L-moment estimation, probability-weighted moment estimation, parameter estimation for numerous familiar and not-so-familiar distributions, and L-moment estimation for the same distributions from the parameters. L-moments are derived from the expectations of order statistics and are linear with respect to the probab...

In this paper we give some recurrence relations satisfied by single and product moments of generalized order statistics from doubly truncated generalized exponential distribution. These relations are deduced for moments of record values and order statistics. Further, using a recurrence relation for single moments we obtain a characterization of generalized exponential distribution.