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When do I take which distribution?a statistical basis for entrepreneurial applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	When do I take which distribution?by Uwe Wehrspohn, Dietmar Ernst.
Reminder of title:	a statistical basis for entrepreneurial applications /
Author:	Wehrspohn, Uwe.
other author:	Ernst, Dietmar.
Published:	Cham :Springer International Publishing :2022.
Description:	vii, 43 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Physical distribution of goodsManagement.
Online resource:	https://doi.org/10.1007/978-3-031-07330-4
ISBN:	9783031073304$q(electronic bk.)

When do I take which distribution?a statistical basis for entrepreneurial applications /
Wehrspohn, Uwe.

When do I take which distribution?a statistical basis for entrepreneurial applications /[electronic resource] :by Uwe Wehrspohn, Dietmar Ernst. - Cham :Springer International Publishing :2022. - vii, 43 p. :ill. (chiefly color), digital ;24 cm. - SpringerBriefs in business,2191-5490. - SpringerBriefs in business..

This book provides the statistical basis for quantitative risk management by presenting and explaining the most important distributions. Distributions describe the occurrence and impact of a risk. They are a prerequisite for risk aggregation, risk analysis and risk assessment as required by the German revision standards IDW PS 340, StaRUG and FISG. This book portrays the distributions that are fundamental for enterprise risk management and shows when and how they are used. These include the Bernoulli distribution, the binomial distribution, the Poisson distribution, the uniform distribution, the triangular distribution, the PERT distribution, the modified PERT distribution, the trapezoidal distribution, the custom distribution, the normal distribution, the lognormal distribution, the Weibull distribution, the expert distribution, the poly distribution and the compound distribution. Furthermore, the book explains how the parameterisation of the distributions can be done via expert estimates or algorithmic calibration.

ISBN: 9783031073304$q(electronic bk.)

Standard No.: 10.1007/978-3-031-07330-4doiSubjects--Topical Terms:

200162
Physical distribution of goods
--Management.

LC Class. No.: HF5415.6 / .W44 2022

Dewey Class. No.: 658.788

When do I take which distribution?a statistical basis for entrepreneurial applications /
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