The Maximum Likelihood Estimator (MLE) has commonly been used to estimate the unknown parameters in the finite mixture of distributions via the expectationmaximization (EM) algorithm. However, theâ€¦ (More)

An eight states non-homogeneous hidden Markov model is developed for linking daily precipitation amounts data at a network of 32 stations broadly covering the territory of Bulgaria to large-scaleâ€¦ (More)

The linear quantile regression estimator is very popular and widely used. It is also well known that this estimator can be very sensitive to outliers in the explanatory variables. In order toâ€¦ (More)

The goal of this study is to evaluate the goodness of fit of alternate PDFs (probability distribution functions) to sequences of annual maximum streamflows in North-Western and Middle Europe. Thoughâ€¦ (More)

The Maximum Likelihood Estimator (MLE) has been widely used to estimate the unknown parameters in the finite mixture of Generalized Linear Models (GLMs). However, the MLE can be very sensitive toâ€¦ (More)

In this paper a regional frequency analysis is suggested in order to obtain more accurate estimations for the tails of wave height distribution functions. A case study with wave height data on theâ€¦ (More)

tlemix implements a general framework for robustly fitting discrete mixtures of regression models in the R statistical computing environment. It implements the FAST-TLE algorithm and uses the Râ€¦ (More)

The Maximum Likelihood Estimator (MLE) and Extended Quasi-Likelihood (EQL) estimator have commonly been used to estimate the unknown parameters within the joint modeling of mean and dispersionâ€¦ (More)