We propose a new approximate skew normal distribution, it is easy to calculate, convenient, mathematically tractable and is in a closed form. It is particularly useful when the probability density function occurs in an expression to be used for further mathematical derivation or in programs for the skew normal distribution. Also, we propose approximate first moment second moment and variance to the skew normal distribution. A numerical comparison between exact and approximate values of pdf and cdf of the skew normal distribution is carried out
AbstractThis paper considers a new approach to develop a very general class of skew multivariate dis...
In the paper, we present an extension of the truncated-exponential skew-normal (TESN) distribution. ...
In many practical situations, we have probability distributions which are close to normal but skewed...
AbstractWe propose a new approximate skew normal distribution, it is easy to calculate, convenient, ...
Title: Skew normal distribution Author: František Helebrand Department: Department of Probability an...
The normal distribution is symmetric and enjoys many important properties. That is why it is widely ...
[[abstract]]It is a common practice to approximate a binomial distribution by a suitable normal dist...
This paper provides an introductory overview of a portion of distribution theory which is currently ...
In many practical situations, we have probability distributions which are close to normal but skewed...
The univariate and multivariate skew-normal distributions have a number of intriguing properties. It...
A new class of multivariate skew-normal distributions, fundamental skew-normal distributions and the...
In this paper, we define a new class of multivariate skew-normal distributions. Its properties are s...
[[abstract]]Approximating a binomial distribution by a suitable normal distribution is a well known ...
Approximating a binomial distribution by a suitable normal distribution is a well known practice, an...
We propose a new generalization of the skew-normal distribution (Azzalini, 1985) referred to as the ...
AbstractThis paper considers a new approach to develop a very general class of skew multivariate dis...
In the paper, we present an extension of the truncated-exponential skew-normal (TESN) distribution. ...
In many practical situations, we have probability distributions which are close to normal but skewed...
AbstractWe propose a new approximate skew normal distribution, it is easy to calculate, convenient, ...
Title: Skew normal distribution Author: František Helebrand Department: Department of Probability an...
The normal distribution is symmetric and enjoys many important properties. That is why it is widely ...
[[abstract]]It is a common practice to approximate a binomial distribution by a suitable normal dist...
This paper provides an introductory overview of a portion of distribution theory which is currently ...
In many practical situations, we have probability distributions which are close to normal but skewed...
The univariate and multivariate skew-normal distributions have a number of intriguing properties. It...
A new class of multivariate skew-normal distributions, fundamental skew-normal distributions and the...
In this paper, we define a new class of multivariate skew-normal distributions. Its properties are s...
[[abstract]]Approximating a binomial distribution by a suitable normal distribution is a well known ...
Approximating a binomial distribution by a suitable normal distribution is a well known practice, an...
We propose a new generalization of the skew-normal distribution (Azzalini, 1985) referred to as the ...
AbstractThis paper considers a new approach to develop a very general class of skew multivariate dis...
In the paper, we present an extension of the truncated-exponential skew-normal (TESN) distribution. ...
In many practical situations, we have probability distributions which are close to normal but skewed...