Since the gamma distribution is one of the most important models, and no convenient statistical tools for this distribution are available, the aim of this project is to construct an R package for the gamma distribution. In this package five functions are created, that can be used to either generate gamma distributed random variables, to estimate the parameters of a gamma distribution and to construct statistical limits for the gamma distribution. In this report, the methods to do so are explained, implemented in R, and the performance of the methods havebeen tested. Lastly, an example is given to illustrate the application of the package.Applied Mathematic
The purpose of this paper is to exhibit the main properties of Gamma and Beta distributions and show...
An efficient implementation of the Pólya-Aeppli, or geometirc compound Poisson, distribution in the...
This is a self-contained document that gives the statistical theory and the programming for a Normal...
The gamma distribution is one of the most important parametric models in probability theory and stat...
The class of gamma regression models is based on the assumption that the dependent variable is gamma...
In this paper, we introduce the R package gendist that computes the probability density function, th...
In this paper, some structural properties of Generalized Gamma Distribution (GGD) have been establis...
Strengthened by examples taken from the scientific literature, this handbook provides statisticians ...
This article introduces a new probability distribution capable of modeling positive data that presen...
R is now the most widely used statistical package/language in university statistics departments and ...
The inverse Gaussian distribution is a positively skewed probability model that has received great a...
<p>Gamma statistic distribution was obtained by simulating 5,000 phylogenies under a Yule model usin...
summary:Up to present for modelling and analyzing of random phenomenons, some statistical distributi...
This paper discusses new approaches to parameter estimation of gamma distribution based on represent...
R is now the most widely used statistical package/language in university statistics departments and ...
The purpose of this paper is to exhibit the main properties of Gamma and Beta distributions and show...
An efficient implementation of the Pólya-Aeppli, or geometirc compound Poisson, distribution in the...
This is a self-contained document that gives the statistical theory and the programming for a Normal...
The gamma distribution is one of the most important parametric models in probability theory and stat...
The class of gamma regression models is based on the assumption that the dependent variable is gamma...
In this paper, we introduce the R package gendist that computes the probability density function, th...
In this paper, some structural properties of Generalized Gamma Distribution (GGD) have been establis...
Strengthened by examples taken from the scientific literature, this handbook provides statisticians ...
This article introduces a new probability distribution capable of modeling positive data that presen...
R is now the most widely used statistical package/language in university statistics departments and ...
The inverse Gaussian distribution is a positively skewed probability model that has received great a...
<p>Gamma statistic distribution was obtained by simulating 5,000 phylogenies under a Yule model usin...
summary:Up to present for modelling and analyzing of random phenomenons, some statistical distributi...
This paper discusses new approaches to parameter estimation of gamma distribution based on represent...
R is now the most widely used statistical package/language in university statistics departments and ...
The purpose of this paper is to exhibit the main properties of Gamma and Beta distributions and show...
An efficient implementation of the Pólya-Aeppli, or geometirc compound Poisson, distribution in the...
This is a self-contained document that gives the statistical theory and the programming for a Normal...