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Bootstrap Statistical Inference for the Variance Based on Fuzzy Data
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 ...
Discrete and Continuous Random Variables With Fuzzy Parameter
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 ...
Bootstrap testing fuzzy hypotheses and observations on fuzzy statistic
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
Discrete dynamic cumulative residual entropy
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 ...
Some characterization results based on doubly truncated reversed residual lifetime random variable
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 ...
Glaser’s function and stochastic orders for mixture distributions
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 ...
PROPERTIES OF n-LAPLACE TRANSFORM RATIO ORDER AND L(n)-CLASS OF LIFE DISTRIBUTIONS
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
Order statistics using fuzzy random variables