Open Access
November 2016 On the powers of polynomial logistic distributions
Sofiya Ostrovska
Braz. J. Probab. Stat. 30(4): 676-690 (November 2016). DOI: 10.1214/15-BJPS298

Abstract

Let $P(x)$ be a polynomial monotone increasing on $(-\infty,+\infty)$. The probability distribution possessing the distribution function

\[F(x)=\frac{1}{1+\exp\{-P(x)\}}\] is called the polynomial logistic distribution associated with polynomial $P$ and denoted by PL($P$). It has recently been introduced, as a generalization of the logistic distribution, by V. M. Koutras, K. Drakos, and M. V. Koutras who have also demonstrated the importance of this distribution in modeling financial data. In the present paper, for a random variable $X\sim\mathrm{PL}(P)$, the analytical properties of its characteristic function are examined, the moment-(in)determinacy for the powers $X^{m},\;m\in\mathbb{N}$ and $|X|^{p},\;p\in(0,+\infty)$ depending on the values of $m$ and $p$ is investigated, and exemplary Stieltjes classes for the moment-indeterminate powers of $X$ are constructed.

Citation

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Sofiya Ostrovska. "On the powers of polynomial logistic distributions." Braz. J. Probab. Stat. 30 (4) 676 - 690, November 2016. https://doi.org/10.1214/15-BJPS298

Information

Received: 1 February 2015; Accepted: 1 August 2015; Published: November 2016
First available in Project Euclid: 13 December 2016

zbMATH: 1376.60032
MathSciNet: MR3582394
Digital Object Identifier: 10.1214/15-BJPS298

Keywords: Characteristic function , M-(in)determinate distribution , Polynomial logistic distribution , Stieltjes class

Rights: Copyright © 2016 Brazilian Statistical Association

Vol.30 • No. 4 • November 2016
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