Inverse Gaussian分布,也称为逆高斯分布,是一种连续概率分布。它的概率密度函数(pdf)为: f(x) =√(π/ 2) * e^(-(x^2) / 2) * x 其中,x≥0。 逆高斯分布的累积分布函数(cdf)可以通过数值积分求解,但通常使用数值方法进行计算。 逆高斯分布的距离母函数(distance generating function)是累积分布函数的...
Inverse Gaussian quantile functionSaralees Nadarajah
Zero intercept inverse Gaussian regression models are presented with nonconstant variance, constant ratio of variance to the mean and constant coefficient of variation. The power function for testing hypotheses about the slope is given for all of these models....
InverseGaussianDistribution[\[Mu], \[Lambda]] represents an inverse Gaussian distribution with mean \[Mu] and scale parameter \[Lambda]. InverseGaussianDistribution[\[Mu], \[Lambda], \[Theta]] represents a generalized inverse Gaussian distribution with p
The Gaussian function contains 3 parameters: (picomoles per liter per minute), which represents the peak rate secretion; (per square minute), which is ... RC Boston,D Pei,PJ Moate - 《Metabolism-clinical & Experimental》 被引量: 6发表: 2009年 Ranking of the utility of selected geostatistic...
This article presents a new family of logarithmic distributions to be called the sinh mixture inverse Gaussian model and its associated life distribution referred as the extended mixture inverse Gaussian model. Specifically, the density, distribution function, and moments are developed for the sinh ...
Introduction The inverse Gaussian distribution (IG) (also known as Wald distribution ) is a two-parameter continuous distribution given by its density function $$f(x;\\mu ,\\lambda ) = \\sqrt{ \\frac{\\lambda } {2\\pi }}{x}^{-3/2}\\exp \\left \\{- \\frac{\\lambda } {2...
The density functionis shown to solve a fractional PDE and the result is also generalized totempered stable subordinators. The subordination of this process to theBrownian motion is considered and the underlying PDE of the subordinatedprocess is obtained. The infinite divisibility of the first-exit ...
Shrinkage Testimators for the Inverse Dispersion of the Inverse Gaussian Distribution under the LINEX Loss Function In this paper, shrinkage testimators for the inverse dispersion for inverse Gaussian distribution when its prior information is available in the form of a guess value have been considered...
To accelerate the BO process, random feature map32 is employed, which allows us to approximate the Gaussian kernel function with a positive definite symmetric function by probabilistic sampling, and the two hyperparameters in the Gaussian process are automatically determined by maximizing the Type II ...