1. PDF generalized inverse Gaussian distribution (GIG) 是一个三参数的连续型概率分布: f(x)=(a/b)p/22Kp(ab−−√)xp−1e−(ax+b/x)/2,x>0 Kp(⋅):表示二阶(second kind)的修正的贝塞尔函数(modified Bessel functions),p表示索引,其两个参数a,b≥0 3. 修正的贝塞尔函数的性质 对称...
1. PDF generalized inverse Gaussian distribution (GIG) 是一个三参数的连续型概率分布: f(x)=(a/b)p/22Kp(ab−−√)xp−1e−(ax+b/x)/2,x>0 Kp(⋅):表示二阶(second kind)的修正的贝塞尔函数(modified Bessel functions),p 表示索引,其两个参数 a,b≥0 3. 修正的贝塞尔函数的性质 对...
This new family is obtained through the mixture of gamma distribution with generalized inverse Gaussian distribution. We also show some important features such as expressions of probability density function, moments, etc. Special attention is paid to the mixture with the inverse Gaussian distribution, ...
aintravaginally intravaginally[translate] aEnter into the table a collection of resources 输入桌资源的一件收藏品[translate] athe generalized inverse Gaussian distribution as a circulation time 广义相反高斯发行作为循环时光[translate]
In 1978 the idea of studying the generalized inverse Gaussian distribution was proposed to me by Professor Ole Barndorff-Nielsen, who had come across the distribution in the study of the socalled hyperbolic distributions where it emerged in connection with the representation of the hyperbolic distribut...
We provide a uniformly efficient and simple random variate generator for the entire parameter range of the generalized inverse Gaussian distribution. A general algorithm is provided as well that works for all densities that are proportional to a log-concave function φ , even if the normalization co...
A characterization of the generalized inverse Gaussian distribution by continued fractions In this paper we study the inverse of the eigenfunction $\\sin_p$ of theone-dimensional $p$-Laplace operator and its dependence on the parameter $p$,and we... LV Seshadri - 《Probability Theory & Related...
The generalized inverse Gaussian-Poisson distribution (GIGP) is suggested as a new stochastic model for species-abundance distributions and for species-individual functions. It has many theoretical and practical advantages over previously used mathematical models, A number of applications show good agreement...
Inverse Gaussian Bayesian estimation conjugate prior multiplicative modelWe study the basic properties of the generalized inverse normal distribution, natural alternative to the inverse Gaussian distribution, and we show that it generates a conjugate prior family in a normal estimation problem...