Gaussian mixture models (GMM) are widely used as a probabilistic model for density
estimation for multivariate data and as an unsupervised clustering algorithm to provide a soft …

The present research deals with statistical inference for the expectation of a function of a
random vector based on biased samples. After highlighting with the help of a motivating …

Cox's widely used semi-parametric proportional hazards (PH) regression model places
restrictions on the possible shapes of the hazard function. Models based on the first hitting …

In this paper, statistical inferences for the size-biased Weibull distribution in two different
cases are drawn. In the first case where the size r of the bias is considered known, it is …

The present research deals with hypothesis testing for the population mean and variance
based on r-size biased samples. Specifically, consistent and asymptotically normally …

In this paper two tests are proposed, based on the Kullback–Leibler divergence measure, for
testing hypotheses concerning the existence and the nature of bias in samples. The first is …

The aim of this work is to provide some characterization properties of the log-normal
distribution with the help of divergence measures between a probability density function f …

Μια κατανομή που βρίσκει μεγάλη εφαρμογή σε στατιστικά μοντέλα για την ανάλυση
δεδομένων διάρκειας ζωής είναι η αντίστροφη Γκαουσιανή κατανομή (Inverse Gaussian-IG) …

The aim of this article is to present a new test for the detection of size-bias in a sample with
or without censored observations. The test is simple in the form and demands only the …