期刊名称：International Journal of Mathematics and Mathematical Sciences
印刷版ISSN：0161-1712
电子版ISSN：1687-0425
出版年度：2003
卷号：2003
DOI：10.1155/S0161171203207237
出版社：Hindawi Publishing Corporation
摘要：We give a new characterization of inverse Gaussian distributions
using the regression of a suitable statistic based on a given
random sample. A corollary of this result is a characterization
of inverse Gaussian distribution based on a conditional joint
density function of the sample. Application of this corollary as
a transformation in the procedure to construct EDF (empirical
distribution function) goodness-of-fit tests for inverse Gaussian
distributions is also studied.
