<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.0//EN" "http://www.ncbi.nlm.nih.gov:80/entrez/query/static/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
<PublisherName>Science and Education Publishing</PublisherName>
<JournalTitle>American Journal of Applied Mathematics and Statistics</JournalTitle>
<Issn>2328-7292</Issn>
<Volume>3</Volume>
<Issue>4</Issue>
<PubDate PubStatus="epublish">
<Year>2015</Year>
<Month>08</Month>
<Day>13</Day>
</PubDate>
</Journal>
<ArticleTitle>Some Properties of Skew Uniform Distribution</ArticleTitle>
<FirstPage>164</FirstPage>
<LastPage>167</LastPage>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Salah H</FirstName>
<LastName>Abid</LastName>
<Affiliation>Mathematics Department, Education College, Al-Mustansirya University, Baghdad, Iraq</Affiliation>
</Author>

</AuthorList>
<ArticleIdList>
<ArticleId IdType="pii">AJAMS2015346</ArticleId>
<ArticleId IdType="doi">10.12691/ajams-3-4-6</ArticleId>
</ArticleIdList>
<History>
<PubDate PubStatus="received">
<Year>2015</Year>
<Month>06</Month>
<Day>10</Day>
</PubDate>
<PubDate PubStatus="revised">
<Year>2015</Year>
<Month>07</Month>
<Day>03</Day>
</PubDate>
<PubDate PubStatus="accepted">
<Year>2015</Year>
<Month>08</Month>
<Day>13</Day>
</PubDate>
</History>
<Abstract>There is one work that appears to give some details of the skew uniform distribution, this work due to Aryal and Nadarajah  [Random Operators and stochastic equations, Vol.12, No.4, pp.319-330, 2004]. They defined a random variable X to have the skew uniform distribution such that fx(x)=2g(x)G(x), where g(.) and  G(.) denote the probability density function (pdf) and the cumulative distribution function (cdf) of the uniform  distribution respectively. In this paper, we construct a new skewed distribution with pdf of the form 2f(x)G(x), where  is a real number, f(.) is taken to be uniform (-a,a) while G(.) comes from uniform (-b,b). We derive some properties of the new skewed distribution, the r th moment, mean, variance, skewness, kurtosis, moment generating function, characteristic function, hazard rate function, median, R?nyi entropy and Shannon entropy. We also consider the generating issues.</Abstract>
</Article>
</ArticleSet>
