The family of inverse Gaussian (IG) distributions is a versatile alternative to modeling nonnegative right-skewed data. The two parameter IG model is useful because of several properties it shares with the two-parameter Gaussian (normal) distribution. For example, in both cases, the maximum ...
library(PSweight) PSweight <- PSweight(ps.formula = formula.ps, data = lindner, weight = "overlap", # 重叠加权 yname = "cardbill", # 因变量 family = "gaussian", ps.method = "glm", out.method = "glm" ) #返回结果,效应估计及其标准误、置信区间、P值 summary(PSweight) ## ## Clo...
The family of Inverse Gaussian (IG) distributions has applications in areas such as hydrology, lifetime testing, and reliability, among others. In this pap... JA Villaseor,E González-Estrada,A Ochoa - 《Sankhya》 被引量: 0发表: 2019年 Exponentially Weighted Moving Average Control Charts for...
Pandu R. Tadikamalla. The inverse Gaussian approximation to the lead time demand. International Journal of Production Research, 19(2):213-219, 1981.Tadikamalla PR. The inverse Gaussian approximation to the lead time demand in inventory control. International Journal of Production Research 1981; 19...
LDL factorization requires half the computation of Gaussian elimination (LU decomposition), and is always stable. It is more efficient than Cholesky factorization because it avoids computing the square roots of the diagonal elements. The algorithm requires that the input be Hermitian positive definite....
However, unlike the corresponding tests in Gaussian theory, little is known about the power function of the basic tests. In this article, we employ the IG-related root-reciprocal IG distribution and a notion of Reciprocal Symmetry to establish the monotonicity of the power function of the test ...
Gaussian models for degradation processes We present two stochastic models that describe the relationship between biomarker process values at random time points, event times, and a vector of covari... KA Doksum,SLT Normand - 《Lifetime Data Analysis》 被引量: 79发表: 1995年 Estimating failure ti...
images may be corrupted by gaussian noise, salt and pepper noise, speckle noise, Brownian noise and other[29]. Denoising is the process of removing the noise from the observed data, which is an essential and important problem that can be found in astronomy, medical imaging and many other app...
For example, in the case of a time variant Gaussian distributed Fourier dimension, we compute the standard deviation using a moving window. In this case, for a given input signal si say, the Fourier dimension function qi is computed using a moving window in which the power spectrum method ...
Here, we exploited the OpenFermion package for Python,58 which allows to extract the interfermionic interactions for four Gaussian orbitals fit via STO-3G method and perform the fermions-to-qubits transformation. For the small N = 4 system we have chosen to use the Jordan-Wigner ...