DISTRIBUCION HIPERGEOMETRICA PDF

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.

Author: Grobar Taucage
Country: Denmark
Language: English (Spanish)
Genre: Science
Published (Last): 24 October 2012
Pages: 448
PDF File Size: 19.46 Mb
ePub File Size: 3.52 Mb
ISBN: 290-7-62635-417-8
Downloads: 35583
Price: Free* [*Free Regsitration Required]
Uploader: Kajikus

The Gauss hypergeometric function 2 F 1 a, b; c; z satisfies Euler’s relation.

Distribución hipergeométrica

The beta distribution sometimes does not provide suficient flexibility for a prior for probability of success in a binomial distribution. For properties and further results the reader distribucioj referred to Luke Nagar 1 and Danilo Bedoya Valencia 2.

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. You will then see the widget on your iGoogle distribjcion. For further results and properties, the reader is referred to Aryal and Nadarajah Applied Probability and Statistics. How to cite this article.

  ANTONIO PORCHIA VOCES PDF

In this section, we give definitions and results that are used in subsequent sections. A generalization of the beta distribution with applications. The hipergeoometrica theorem suggests a generalized beta type 2 distribution, from the Gauss hypergeometric distribution.

Distribuciln type 3 distribution and its multivariate generalization. To add the widget to Blogger, click here and follow the easy directions provided by Blogger.

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

Multivariate generalized beta distributions with applications to utility assessment. Using the independence, the joint pdf of X 1 and X 2 is given by. This distribution was defined and used by Libby and Novic The graph of the Gauss hypergeometric density for different values of the parameters is shown in the Figure 1. First, we give the following lemma useful in deriving these entropies. On the next page click the “Add” button.

It is straightforward to show that.

Several properties and special cases of this distribution are given in Johnson, Kotz and Balakrishnan 3, p. Services on Demand Article.

  CACTUS KF36 MANUAL PDF

Distribuciones estadísticas

The above distribution was suggested by Armero and Bayarri 6. Enable Javascript to interact with content and submit forms on Wolfram Alpha websites. Sarabia and Castillo Fader and Bruce G. Gokarna Aryal and Saralees Nadarajah. For properties and further results of these function the reader hipsrgeometrica referred to Srivastava and Karlsson Thus, we obtain the joint pdf of W and Z as. Sums, products and ratios of generalized beta variables. Now, using Hiprgeometrica 2.

Finally, integrating w using 10 and substituting for K 2 in 28we distribuciin the desired result. Among various properties, the distribution defined by the density 5 can more flexibly account for heavy tails or skewness, and it reduces to the ordinary beta type 1 distribution for certain parameter choices.

Send feedback Visit Wolfram Alpha. It is defined by.