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
gaussian describing function 【电】 高斯描述函数 open loop describing function 开环描述函数 dual input describing function 【计】 双输入描述函数 inverse function 反函数,逆函数 inverse trigonometric(al) function 逆三角函数 inverse function generation 反函发生,反函数发生 inverse function theorem ...
function,mapping,mathematical function,single-valued function,map- (mathematics) a mathematical relation such that each element of a given set (the domain of the function) is associated with an element of another set (the range of the function) ...
'InverseGaussian'Inverse Gaussian Distributionμscale parameterλshape parameterN/AN/A 'Logistic'Logistic Distributionμmeanσscale parameterN/AN/A 'LogLogistic'Loglogistic Distributionμmean of logarithmic valuesσscale parameter of logarithmic valuesN/AN/A ...
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....
(16.12)1ℋ(k→−k′→)|Gaussian={1Δg2exp[πΔg2|k→|2]when|k→|≤kmax0when|k→|>kmax Subsequently, in an image with an inherent Gaussian point spread function, in which the effect of noise is negligible, the inverse Fourier Gaussian will result in an overall effect described by...
Plot the inverse error function for -1 < x < 1. x = -1:0.01:1; y = erfinv(x); plot(x,y) gridonxlabel('x') ylabel('erfinv(x)') title('Inverse Error Function for -1 < x < 1') Generate Gaussian Distributed Random Numbers ...
(Pinus massoniana Lamb,) from 9 regional trial locations with good growth was used to establish height response function for each provenance grown at different latitudes.利用9个生长较好的马尾松种源区域试验点测定材料,建立24个种源在不同纬度上9年生树高的Gaussian反应函数,发现3个反应函数参数(模式纬度...
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