In this article we study independence neutrosophic random variables and conditioned expectation, we prove that conditional variance is equal to neutrosophic conditional variance. These notions are important for neutrosophic probability due to neutrosophic random variables, neutrosophic central limit theorem and neutrosophic laws of large numbers can be studied
According to orthodox (Kolmogorovian) probability theory, conditional probabilities are by definitio...
In this paper we propose a new procedure for testing independence of random variables, which is base...
Conditions under which conditionally independent random variables are positive dependent are describ...
In this paper, new general definitions of neutrosophic random variables are introduced and their pro...
In this paper, general definition of neutrosophic random variables is introduced and its properties ...
We present in this paper the neutrosophic randomized variables, which are a generalization of the cl...
In this book, we introduce for the first time the notions of neutrosophic measure and neutrosophic i...
Conditional independence almost everywhere in the space of the conditioning variates does not imply ...
Neutrosophic Probability is a generalization of the classical probability and imprecise probability....
We present in this paper the neutrosophic randomized variables, which are a generalization of the cl...
In this paper, we introduce and study some neutrosophic probability distributions, The study is done...
Some properties of conditionally independent random variables are studied. Conditional versions of g...
In this article, the definition of literal neutrosophic stochastic processes is presented for the fi...
Abstract. A conditional version of the classical central limit theorem is derived rigorously by usin...
AbstractUpper and lower conditional probabilities are defined by Hausdorff outer and inner measures,...
According to orthodox (Kolmogorovian) probability theory, conditional probabilities are by definitio...
In this paper we propose a new procedure for testing independence of random variables, which is base...
Conditions under which conditionally independent random variables are positive dependent are describ...
In this paper, new general definitions of neutrosophic random variables are introduced and their pro...
In this paper, general definition of neutrosophic random variables is introduced and its properties ...
We present in this paper the neutrosophic randomized variables, which are a generalization of the cl...
In this book, we introduce for the first time the notions of neutrosophic measure and neutrosophic i...
Conditional independence almost everywhere in the space of the conditioning variates does not imply ...
Neutrosophic Probability is a generalization of the classical probability and imprecise probability....
We present in this paper the neutrosophic randomized variables, which are a generalization of the cl...
In this paper, we introduce and study some neutrosophic probability distributions, The study is done...
Some properties of conditionally independent random variables are studied. Conditional versions of g...
In this article, the definition of literal neutrosophic stochastic processes is presented for the fi...
Abstract. A conditional version of the classical central limit theorem is derived rigorously by usin...
AbstractUpper and lower conditional probabilities are defined by Hausdorff outer and inner measures,...
According to orthodox (Kolmogorovian) probability theory, conditional probabilities are by definitio...
In this paper we propose a new procedure for testing independence of random variables, which is base...
Conditions under which conditionally independent random variables are positive dependent are describ...