En este trabajo demostramos que toda distribución hipergeométrica H(N, X,n) puede ser descrita como suma de pruebas independientes con probabilidades de. View distribucion from CFM at Universidad Nacional de Colombia. DISTRIBUCIN HIPERGEOMTRICA. Notacin: Formula: Luego. La distribución hipergeométrica h (x ; m, n, k) se puede aproximar por medio de Esta aplicación muestra gráficamente la aproximación entre distribuciones.

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Sums, products and ratios of generalized beta variables. The k -th moment of the variable X having Gauss hypergeometric distribution, obtained in Armero and Bayarri 6.

The resulting posterior distribution in this case is a four-parameter type of beta.

Distribufion obtain 19we use 7 to write and proceed similarly. Then, the CDF of X is given by. This generalized entropy measure is given by.

It is straightforward to show that. Now, using Lemma 2. Fader and Bruce G. Using the independence, the joint pdf of X 1 and X 2 is given by. On the next page click the “Add” button. In this article, we derive distributions of the product and the ratio of two independent random variables when at least one of them is Gauss hypergeometric.

The beta distribution is very versatile and a variety of uncertainties can be usefully modeled by it. Since X 1 and X 2 are independent, their joint pdf is given by.

It is defined by. The above distribution was suggested by Armero and Bayarri 6. Now, using the definition of the Appell’s first hypergeometric function, we get the desired result. Spanish pdf Article in xml format Article references How to cite this article Automatic translation Send this article by e-mail.


Wolfram|Alpha Widgets: “Distribucion Hipergeometrica (2)” – Free Statistics & Data Analysis Widget

In this section, we obtain distributional results for the product of two independent random variables involving Gauss hypergeometric distribution. To add the widget to Blogger, click here and follow the easy directions provided by Blogger.

The Gauss hypergeometric function 2 F 1 a, b; c; z satisfies Euler’s relation. Mathematics in Science and Engineering, Vol. The distdibucion of the Gauss hypergeometric density for different values of the parameters is shown in the Figure 1. Make your selections below, then copy and paste the code below into your HTML source. Advances in distribution theory, order statistics, and inference, ISBN: Hipergeometirca appreciate your interest in Wolfram Alpha and will be in touch soon.

Distribución hipergeométrica

Appell’s first hypergeometric function, beta distribution, Gauss hypergeometric distribution, quotient, transformation. The generalized beta and F -distributions in statistical modelling. Applied Probability and Statistics.

This distribution was defined and used by Hipergeoetrica and Novic Bayesian inference for linear growth birth and death processes. In this section we obtain distributional results for the quotient of two independent random variables involving Gauss hypergeometric distribution. Information matrix for beta distributions.

A brief introduction of this distribution is given in the encyclopedic work of Johnson, Kotz hipergeojetrica Balakrishnan 3, p. Moreover, the cumulative distribution function CDF can be derived in terms of special functions as shown in the following theorem. Bivariate distributions based on the generalized three-parameter beta distribution. The following theorem suggests a generalized beta type 2 distribution, from the Gauss hypergeometric distribution.


Prior assessments for predictions in queues. In this article, we have derived the probability density functions of the product and the quotient of two independent random variables having Gauss hypergeometric distribution. Multivariate generalized beta distributions with applications to utility assessment. It is straightforward to show that where 2 F 1 is the Gauss hypergeometric series. Chen and Novic Finally, using Lemma 2.

First, we give the following lemma useful in deriving these entropies. To obtain 19we use 7 to write. For further results and properties, the reader is referred to Aryal and Nadarajah In the following theorem, we consider the case where both the random variables are distributed as Gauss hypergeometric. Distributions of the product and distribucon of independent beta type 3 variables. A mathematical theory of hipergeometroca. Several univariate and matrix variate generalizations of this distribution are given in Gordy 1.

Several properties and special cases of this distribution are given in Johnson, Kotz and Balakrishnan 3, p. To embed a widget in your blog’s sidebar, install the Wolfram Alpha Widget Sidebar Pluginand copy and paste the Widget ID below into the “id” field: