Business risk and simulation modelling in practice

using Excel, VBA and @RISK

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Business risk and simulation modelling in pra ...
Michael Rees
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Last edited by ImportBot
September 29, 2021 | History

Business risk and simulation modelling in practice

using Excel, VBA and @RISK

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

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Publish Date
Language
English
Pages
438

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Edition Availability
Cover of: Business risk and simulation modelling in practice

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Book Details


Table of Contents

Part 1. An introduction to risk assessment: its uses, processes, approaches, benefits and challenges. The context and uses of risk assessment
Key stages of the general risk assessment process
Approaches to risk assessment and quantification
Full integrated risk modelling: decision-support benefits
Organisational challenges relating to risk modelling
Part II. The design of risk models: principles, processes and methodology. Principles of simulation methods
Core principles of risk model design
Measuring risk using statistics of distribution
The selection of distributions for use in risk models
Creating samples from distributions
Modelling dependencies between source of risk
Part III. Getting started wtih simulation in practice. Using Excel/VBA for simulation modelling
Using @RISK for simulation modelling.

Edition Notes

Includes index.

Series
Wiley finance series, Wiley finance series

Classifications

Dewey Decimal Class
658.15/50285554
Library of Congress
HD61 .R44 2015, HD61, HD61.R44 2015

The Physical Object

Pagination
xxv, 438 pages
Number of pages
438

ID Numbers

Open Library
OL27186456M
ISBN 10
1118904052
ISBN 13
9781118904053
LCCN
2015019955, 2015021538
OCLC/WorldCat
894935277

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
September 29, 2021 Edited by ImportBot import existing book
September 21, 2020 Edited by MARC Bot import existing book
September 21, 2020 Edited by MARC Bot import existing book
July 19, 2019 Created by MARC Bot Imported from marc_openlibraries_sanfranciscopubliclibrary MARC record