Read Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer Optimization and Its Applications, Volume 20.

Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer Optimization and Its Applications, Volume 20.

Evgueni D Solojentsev

4.9/5 (9500 ratings)

Description:The book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics. It covers the methodological and theoretical basis of risk management at the design, test, and operation stages of economic, banking, and engineering systems with groups of incompatible events (GIE).Key features of this second edition include: five new chapters; treatment of the basic principles of the modern risk LP theory (the LP-calculus, the LP-methods and the risk LP-theory with GIE) using uniform methodology and terminology with a practical orientation towards both engineering and economics, for the first time in book form; clear definitions and notations, revised sections and chapters, an extended list of references, and a new subject index; and, more than a hundred illustrations and tables which motivate the presentation. Specialists in risk management in economics, banking and business, as well as graduates and post-graduates in economics and engineering, will benefit from this book.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer Optimization and Its Applications, Volume 20.. To get started finding Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer Optimization and Its Applications, Volume 20., you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 461

Format: PDF, EPUB & Kindle Edition

Publisher: Springer

Release: 2009

ISBN: 1281927074

Description: The book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics. It covers the methodological and theoretical basis of risk management at the design, test, and operation stages of economic, banking, and engineering systems with groups of incompatible events (GIE).Key features of this second edition include: five new chapters; treatment of the basic principles of the modern risk LP theory (the LP-calculus, the LP-methods and the risk LP-theory with GIE) using uniform methodology and terminology with a practical orientation towards both engineering and economics, for the first time in book form; clear definitions and notations, revised sections and chapters, an extended list of references, and a new subject index; and, more than a hundred illustrations and tables which motivate the presentation. Specialists in risk management in economics, banking and business, as well as graduates and post-graduates in economics and engineering, will benefit from this book.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer Optimization and Its Applications, Volume 20.. To get started finding Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer Optimization and Its Applications, Volume 20., you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer Optimization and Its Applications, Volume 20.

Scenario Logic and Probabilistic Management of Risk in Business and Engineering. Springer Optimization and Its Applications, Volume 20.

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