A note on almost uniform distributions

A Note on Exact Laws of Large Numbers for Asymmetric Pareto-type Distributions with Applications to Ratios of Random Variables

Author： Pawel Kurasinski, Habib Naderi, André Adler, Przemyslaw Matula

An Invariance for the Large-Sample Empirical Distribution of Waiting Time between Successive Extremes

Author： Lo-Bin Chang, Alok Goswami, Chii-Ruey Hwang, Fushing Hsieh

Characterizations of distributions by linear combinations of moments of order statistics

Estimation of the prior distribution by best approximation in uniformly convex function spaces

Exact laws of large numbers for independent Pareto random variables

Author： Toshio Nakata

Infinite dimensional complex analysis as a framework for products of distributions

Author： Tsoy-Wo Ma

Integrability Conditions for the Grushin and Martinet Distributions

Author： Ovidiu Calin, Der-Chen Chang

Limit Theorems for Super-heavy Tailed Random Variables with Truncation: Application to the Super-petersburg Game

Author： Toshio Nakata

Mellin transform for Boehmians

Author： R. Roopkumar

On a class of consistent estimators for finite mixtures of distributions

On the product and ratio of $t$ and Bessel random variables

Author： Saralees Nadarajah, Samuel Kotz

On the strong law of large numbers for sequences of pairwise negative quadrant dependent random variables

Author： Deli Li, Andrew Rosalsky, Andrei I. Volodin

Products of random variables with logistic kernel

Author： Saralees Nadarajah, Arjun K. Gupta

Representations of Fourier transforms for distributions

Some bivariate Pareto distributions generated by geometric maximization procedures

Some methods of linear boundary crossing probabilities with results on exponential and normal distributions

Strong uniform consistency of empirical conditional distributions with variable censoring

Testing equality of two Weibull distributions with jointly type Ⅱ censored samples

The frailty and the archimedean structure of the general multivariate Pareto distributions

Author： Hsiaw-Chan Yeh