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NON-CENTRAL MOMENTS OF THE TRUNCATED NORMAL VARIABLE IN FINANCE

Annals of Financial Economics, 2021
This paper computes the Non-central Moments of the Truncated Normal variable, i.e. a Normal constrained to assume values in the interval with bounds that may be finite or infinite. We define two recursive expressions where one can be expressed in closed form. Another closed form is defined using the Lower Incomplete Gamma Function.
FAUSTO CORRADIN, DOMENICO SARTORE
openaire   +1 more source

A simple form for the inverse moments of non-central χ2 andF random variables and certain confluent hypergeometric functions

Journal of Econometrics, 1984
Theorems are given for the evaluation of the inverse moments of non- central chi-square and F random variables. Simple expressions are given for confluent hypergeometric functions \({}_ 1F_ 1(j/2;m/2,c)\) where j and m are non-negative integers and c is real. Examples of their use in the evaluation of a variety of estimators are provided.
Bock, M. E., Judge, G. G., Yancey, T. A.
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A simple way of computing the inverse moments of a non-central chi-square random variable

Journal of Econometrics, 1988
Abstract Theorems are given which permit recurrence formulas to be used in the evaluation of the inverse moments on non-central chi-square random variables.
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Expected Present and Final Value of an Annuity when some Non-Central Moments of the Capitalization Factor are Unknown: Theory and an Application using R

2017
The aim of this chapter is the development of three approaches for obtaining the value of an n-payment annuity, with payments of 1 unit each, when the interest rate is random. To calculate the value of these annuities, we are going to assume that only some non-central moments of the capitalization factor are known. The first technique consists in using
Cruz Rambaud, Salvador   +2 more
openaire   +2 more sources

Brain and other central nervous system tumor statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L. Siegel   +2 more
exaly  

Desmearing small-angle scattering data by central moment expansions

Journal of Applied Crystallography, 2023
Guan-Rong Huang   +2 more
exaly  

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