翻訳と辞書
Words near each other
・ "O" Is for Outlaw
・ "O"-Jung.Ban.Hap.
・ "Ode-to-Napoleon" hexachord
・ "Oh Yeah!" Live
・ "Our Contemporary" regional art exhibition (Leningrad, 1975)
・ "P" Is for Peril
・ "Pimpernel" Smith
・ "Polish death camp" controversy
・ "Pro knigi" ("About books")
・ "Prosopa" Greek Television Awards
・ "Pussy Cats" Starring the Walkmen
・ "Q" Is for Quarry
・ "R" Is for Ricochet
・ "R" The King (2016 film)
・ "Rags" Ragland
・ ! (album)
・ ! (disambiguation)
・ !!
・ !!!
・ !!! (album)
・ !!Destroy-Oh-Boy!!
・ !Action Pact!
・ !Arriba! La Pachanga
・ !Hero
・ !Hero (album)
・ !Kung language
・ !Oka Tokat
・ !PAUS3
・ !T.O.O.H.!
・ !Women Art Revolution


Dictionary Lists
翻訳と辞書 辞書検索 [ 開発暫定版 ]
スポンサード リンク

beta prime distribution : ウィキペディア英語版
beta prime distribution
\!|
cdf = I_(\alpha,\beta) } where I_x(\alpha,\beta) is the incomplete beta function|
mean =\frac \text \beta>1|
median =|
mode =\frac \text \alpha\ge 1\text\!|
variance =\frac \text \beta>2|
skewness =\frac\sqrt} \text \beta>3|
kurtosis =|
entropy =|
mgf =|
char =|
}}
In probability theory and statistics, the beta prime distribution (also known as inverted beta distribution or beta distribution of the second kind〔Johnson et al (1995), p248〕) is an absolutely continuous probability distribution defined for x > 0 with two parameters α and β, having the probability density function:
: f(x) = \frac}
where ''B'' is a Beta function.
The cumulative distribution function is
:F(x; \alpha,\beta)=I_}\left (\alpha, \beta \right) ,
where ''I'' is the regularized incomplete beta function.
The expectation value, variance, and other details of the distribution are given in the sidebox; for \beta>4, the excess kurtosis is
:\gamma_2 = 6\frac.
While the related beta distribution is the conjugate prior distribution of the parameter of a Bernoulli distribution expressed as a probability, the beta prime distribution is the conjugate prior distribution of the parameter of a Bernoulli distribution expressed in odds. The distribution is a Pearson type VI distribution.〔
The mode of a variate ''X'' distributed as \beta^(\alpha,\beta) is \hat = \frac.
Its mean is \frac if \beta>1 (if \beta \leq 1 the mean is infinite, in other words it has no well defined mean)
and its variance is
\frac if \beta>2.
For -\alpha , the k-th moment E() is given by
: E()=\frac.
For k\in \mathbb with k <\beta , this simplifies to
: E()=\prod_^ \frac.
The cdf can also be written as
: \frac\!
where _2F_1 is the Gauss's hypergeometric function 2F1 .
Differential equation

\left\\right\}

==Generalization==

Two more parameters can be added to form the generalized beta prime distribution.
:p > 0 shape (real)
q > 0 scale (real)
having the probability density function:
: f(x;\alpha,\beta,p,q) = \frac}\right)}^ \left(}\right)}^p}\right)^}
with mean
: \frac)\Gamma(\beta-\tfrac)} \text \beta p>1
and mode
: q}\right)}^\tfrac \text \alpha p\ge 1\!
Note that if p=q=1 then the generalized beta prime distribution reduces to the standard beta prime distribution

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
ウィキペディアで「beta prime distribution」の詳細全文を読む



スポンサード リンク
翻訳と辞書 : 翻訳のためのインターネットリソース

Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.