On the skew uniform distribution
Gespeichert in:
Verfasser / Beitragende:
[Saralees Nadarajah, Gokarna Aryal]
Ort, Verlag, Jahr:
2004
Enthalten in:
Random Operators and Stochastic Equations, 12/4(2004-12-01), 319-330
Format:
Artikel (online)
Online Zugang:
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 378920804 | ||
| 003 | CHVBK | ||
| 005 | 20180305123604.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 161128e20041201xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1515/1569397042722337 |2 doi |
| 035 | |a (NATIONALLICENCE)gruyter-10.1515/1569397042722337 | ||
| 245 | 0 | 0 | |a On the skew uniform distribution |h [Elektronische Daten] |c [Saralees Nadarajah, Gokarna Aryal] |
| 520 | 3 | |a A random variable X is said to have the skew-uniform distribution if its pdf is ƒ(x) = 2g(x)G(λx), where g(·) and G(·), respectively, denote the pdf and the cdf of the Uniform (−θ, θ) distribution. This distribution - in spite of its simplicity - appears not to have been studied in detail. The only work that appears to give some details of this distribution is Gupta et al. [Random Operators and Stochastic Equations, 10, 2002, 133-140], where expressions for the pdf, moment generating function, expectation, variance, skewness and the kurtosis of X are given. Unfortunately, all of these expressions appear to contain some errors. In this paper, we provide a comprehensive description of the mathematical properties of X. The properties derived include the kth moment, the kth central moment, variance, skewness, kurtosis, moment generating function, characteristic function, hazard rate function, mean deviation about the mean, mean deviation about the median, Rényi entropy, Shannon entropy and the asymptotic distribution of the extreme order statistics. We also consider estimation and simulation issues. | |
| 540 | |a Copyright 2003, Walter de Gruyter | ||
| 700 | 1 | |a Nadarajah |D Saralees |u Department of Mathematics, University of South Florida, Tampa, Florida 33620, USA |4 aut | |
| 700 | 1 | |a Aryal |D Gokarna |u Department of Mathematics, University of South Florida, Tampa, Florida 33620, USA |4 aut | |
| 773 | 0 | |t Random Operators and Stochastic Equations |d Walter de Gruyter |g 12/4(2004-12-01), 319-330 |x 0926-6364 |q 12:4<319 |1 2004 |2 12 |o rose | |
| 856 | 4 | 0 | |u https://doi.org/10.1515/1569397042722337 |q text/html |z Onlinezugriff via DOI |
| 908 | |D 1 |a research article |2 jats | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1515/1569397042722337 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Nadarajah |D Saralees |u Department of Mathematics, University of South Florida, Tampa, Florida 33620, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Aryal |D Gokarna |u Department of Mathematics, University of South Florida, Tampa, Florida 33620, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Random Operators and Stochastic Equations |d Walter de Gruyter |g 12/4(2004-12-01), 319-330 |x 0926-6364 |q 12:4<319 |1 2004 |2 12 |o rose | ||
| 900 | 7 | |b CC0 |u http://creativecommons.org/publicdomain/zero/1.0 |2 nationallicence | |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-gruyter | ||