The bootstrap is a simple and straightforward method for calculating

approximated biases, standard deviations, confidence intervals, testing

statistical hypotheses, and so forth, in almost any nonparametric ...

It is interesting to construct a method in order to verify a crisp mass

(density) probability function and its mean and variance with fuzzy

parameters. We look at some applications of these situations. In ...

The bootstrap is a simple and straightforward method for calculating approximated biases, standard

deviations, confidence intervals, testing statistical hypotheses, and so forth, in almost any nonparametric

The concepts of cumulative residual entropy (CRE) and dynamic

cumulative residual entropy (DCRE) were defined first in the continuous case

by Rao et al. (2004), Rao (2005) and Asadi and Zohrevand (2007). In ...

In view of the growing importance of the reversed residual lifetime in reliability anal-

ysis and stochastic modeling, in this paper, we try to study some of the reliability

properties of reversed residual ...

Purpose – The purpose of this paper is to study likelihood ratio order for mixture and its components

via their Glaser’s functions for weighted distributions. So, some theoretical examples using exponential

family ...

One notion of stochastic comparisons of non-negative random variables based on ra-

tios of nth derivative of Laplace transforms (n-Laplace transform order or shortly

≤n-Lt-r order) is introduced by Mulero et ...

Order statistics using fuzzy random variables

The uniformly minimum variance unbaiased fuzzy estimators of fuzzy parameter based on fuzzy random variabls

In this paper, we introduce the discrete version of log-odds rate function and study some of its monotone ageing properties. We show that log-odds rate can characterize the distribution uniquely and also we characterize ...