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The inverse distribution for a dichotomous random variable
In this paper we will deal with the determination of the inverse of a dichotomous probability distribution. In particular it will be shown that a dichotomous distribution admit inverse if and only if it corresponds to a random variable assuming values , . Moreover we will provide two general results about the behaviour of the inverse distribution relative to the power and to a linear transformation of a measure.
Bona, Elisabetta, and Sacchetti, Dario. "The inverse distribution for a dichotomous random variable." Commentationes Mathematicae Universitatis Carolinae 38.2 (1997): 385-394. <http://eudml.org/doc/248047>.
@article{Bona1997,
abstract = {In this paper we will deal with the determination of the inverse of a dichotomous probability distribution. In particular it will be shown that a dichotomous distribution admit inverse if and only if it corresponds to a random variable assuming values $(0,a)$, $\,a\in \mathbb \{R\}^\{+\}$. Moreover we will provide two general results about the behaviour of the inverse distribution relative to the power and to a linear transformation of a measure.},
author = {Bona, Elisabetta, Sacchetti, Dario},
journal = {Commentationes Mathematicae Universitatis Carolinae},
keywords = {inverse measure; inverse probability distribution; Laplace transform; variance function; inverse measure; inverse probability distribution; Laplace transform; variance function},
language = {eng},
number = {2},
pages = {385-394},
publisher = {Charles University in Prague, Faculty of Mathematics and Physics},
title = {The inverse distribution for a dichotomous random variable},
url = {http://eudml.org/doc/248047},
volume = {38},
year = {1997},
}
TY - JOUR
AU - Bona, Elisabetta
AU - Sacchetti, Dario
TI - The inverse distribution for a dichotomous random variable
JO - Commentationes Mathematicae Universitatis Carolinae
PY - 1997
PB - Charles University in Prague, Faculty of Mathematics and Physics
VL - 38
IS - 2
SP - 385
EP - 394
AB - In this paper we will deal with the determination of the inverse of a dichotomous probability distribution. In particular it will be shown that a dichotomous distribution admit inverse if and only if it corresponds to a random variable assuming values $(0,a)$, $\,a\in \mathbb {R}^{+}$. Moreover we will provide two general results about the behaviour of the inverse distribution relative to the power and to a linear transformation of a measure.
LA - eng
KW - inverse measure; inverse probability distribution; Laplace transform; variance function; inverse measure; inverse probability distribution; Laplace transform; variance function
UR - http://eudml.org/doc/248047
ER -
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