An Exact Chi-Squared Decomposition Theorem for Inverse Gaussian Variates
逆高斯变量的精确卡方分解定理
SUMMARY It is proved that the scaled deviance of an inverse Gaussian sample of size n can be expressed as a sum of n – 1 independent chi-square variates. Applications to prediction intervals and squared recursive-residuals are illustrated.