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نمایش تعداد 1-10 از 644
Weakly Negative Dependent of Random Variables With Applications
Some basic theorical properties and complete convergence the
orems for sums of weakly negative dependent are provided. Using the theo-
retical results, limit behavior of empirical distribution and sample pth ...
Integer valued stable random variables
On Complete Convergence of Moving Average Processes for NSD Sequences
We study the complete convergence of moving-average processes based on an identically
distributed doubly infinite sequence of negatively superadditive-dependent random variables.
As a corollary, the Marcinkiewicz-Zygmund strong law...
On Complete Convergence of Dominated Random Variables
In this paper, we present some general results concerning complete convergence for arrays of dependent random variables,dominated in a sense by independent random variables. As an application, we obtain the Baum–Katz-type theorem for arrays of some...
Some moment inequalities for symmetric random variables
In this paper we present some moment inequalities for symmetric random variables which is
formulated as follow....
Some limit theorems for fuzzy martingales
Some inequalities for fuzzy martingales are derived, and convergence
of such of fuzzy random variables are studied. As a direct extension of
classical methods, some limit theorems for fuzzy martingales are established...
Dp,q−distance and partial correlation coefficient of fuzzy random variables
In this paper, we extend the concept of partial correlation coefficient of real random variables to
fuzzy random variables. In fact, our objective here is to propose a method of partial correlation
analysis based on the definition...
An uniformly minimum variance unbiased point estimator using fuzzy observations
Fuzzy random variable, signed distance...
Some maximal inequalities for quadratic forms of negative superadditive dependence random variables
In this paper, we derive two maximal inequalities for quadratic forms of negative
superadditive dependence random variables. Then, we obtain the strong law of large
numbers and the rate of convergence under some suitable conditions...