In Stein's method, one can characterize probability distributions with
d...
We propose a general and relatively simple method for the construction o...
We use a Stein identity to define a new class of parametric distribution...
That data follow a Gompertz distribution is a widely used assumption in
...
We propose a novel approach to uniformity testing on the d-dimensional u...
We revisit the family of goodness-of-fit tests for exponentiality based ...
We propose novel goodness-of-fit tests for the Weibull distribution with...
The Shapiro–Wilk test (SW) and the Anderson–Darling test (AD) turned out...
We propose a new class of goodness-of-fit tests for the logistic distrib...
In this paper, we revisit the classical goodness-of-fit problems for
uni...
The test for normality suggested by Epps and Pulley (1983) is a serious
...
We introduce a new characterization of the Cauchy distribution and propo...
Stein's method is a collection of tools for analysing distributional
com...
From the distributional characterizations that lie at the heart of Stein...
We propose a new L^2-type goodness-of-fit test for the family of beta
di...
We study a novel class of affine invariant and consistent tests for
mult...
This article gives a synopsis on new developments in affine invariant te...
We propose a new powerful family of tests of univariate normality. These...
This paper deals with testing for nondegenerate normality of a d-variate...
We study a novel class of affine invariant and consistent tests for norm...
We propose and investigate a new estimation method for the parameters of...
We present new families of goodness-of-fit tests of uniformity on a
full...
By extrapolating the explicit formula of the zero-bias distribution occu...
We propose a class of weighted L_2-type tests of fit to the Gamma
distri...
We propose two families of tests for the classical goodness-of-fit probl...
We propose a class of goodness-of-fit tests for complete spatial randomn...