© 2016 Elsevier B.V. The paper provides examples of how to construct probability densities whose convolution powers are all unbounded. This persistent form of unboundedness is related to a premise in a well-known local central limit theorem.publisher: Elsevier articletitle: Persistently unbounded probability densities journaltitle: Statistics & Probability Letters articlelink: http://dx.doi.org/10.1016/j.spl.2016.06.021 content_type: article copyright: © 2016 Elsevier B.V. All rights reserved.status: publishe
We consider nonnegative infinitely divisible random variables whose Levy measures are either absolut...
This book contains a systematic treatment of probability from the ground up, starting with intuitive...
AbstractThis paper presents a new unifying continuous probability density function. It is shown that...
AbstractThis is a survey of several topics in probability and statistics in which permanents seem to...
Certain families of probability distribution functions maintain their infinite divisibility under re...
Certain families of probability distribution functions maintain their infinite divisibility under re...
The purpose of this paper is to explain the central limit theorem and its application in research. T...
This is a survey of several topics in probability and statistics in which permanents seem to have a ...
This study gives detailed proofs of some limit theorems in probability which are important in theore...
In investigations where the parameter of interest is the mean or expectation of some random variable...
Let I1,..., In be independent but not necessarily identically distributed Bernoulli random variables...
The present article investigates a class of random partitioning distributions of a positive integer....
The central limit theorem is a fundamental theorem of statistics. It prescribes that the sum of a su...
Title from PDF of title page (University of Missouri--Columbia, viewed on August 28, 2012).The entir...
The central limit theorem is a fundamental theorem of statistics. It prescribes that the sum of a su...
We consider nonnegative infinitely divisible random variables whose Levy measures are either absolut...
This book contains a systematic treatment of probability from the ground up, starting with intuitive...
AbstractThis paper presents a new unifying continuous probability density function. It is shown that...
AbstractThis is a survey of several topics in probability and statistics in which permanents seem to...
Certain families of probability distribution functions maintain their infinite divisibility under re...
Certain families of probability distribution functions maintain their infinite divisibility under re...
The purpose of this paper is to explain the central limit theorem and its application in research. T...
This is a survey of several topics in probability and statistics in which permanents seem to have a ...
This study gives detailed proofs of some limit theorems in probability which are important in theore...
In investigations where the parameter of interest is the mean or expectation of some random variable...
Let I1,..., In be independent but not necessarily identically distributed Bernoulli random variables...
The present article investigates a class of random partitioning distributions of a positive integer....
The central limit theorem is a fundamental theorem of statistics. It prescribes that the sum of a su...
Title from PDF of title page (University of Missouri--Columbia, viewed on August 28, 2012).The entir...
The central limit theorem is a fundamental theorem of statistics. It prescribes that the sum of a su...
We consider nonnegative infinitely divisible random variables whose Levy measures are either absolut...
This book contains a systematic treatment of probability from the ground up, starting with intuitive...
AbstractThis paper presents a new unifying continuous probability density function. It is shown that...