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Books > Business & Economics > Business & management > Management & management techniques > Operational research

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Statistical Decision Problems - Selected Concepts and Portfolio Safeguard Case Studies (Paperback, Softcover reprint of the original 1st ed. 2014) Loot Price: R2,319
Discovery Miles 23 190
Statistical Decision Problems - Selected Concepts and Portfolio Safeguard Case Studies (Paperback, Softcover reprint of the...

Statistical Decision Problems - Selected Concepts and Portfolio Safeguard Case Studies (Paperback, Softcover reprint of the original 1st ed. 2014)

Michael Zabarankin, Stan Uryasev

Series: Springer Optimization and Its Applications, 85

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Loot Price R2,319 Discovery Miles 23 190 | Repayment Terms: R217 pm x 12*

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Statistical Decision Problems presents a quick and concise introduction into the theory of risk, deviation and error measures that play a key role in statistical decision problems. It introduces state-of-the-art practical decision making through twenty-one case studies from real-life applications. The case studies cover a broad area of topics and the authors include links with source code and data, a very helpful tool for the reader. In its core, the text demonstrates how to use different factors to formulate statistical decision problems arising in various risk management applications, such as optimal hedging, portfolio optimization, cash flow matching, classification, and more. The presentation is organized into three parts: selected concepts of statistical decision theory, statistical decision problems, and case studies with portfolio safeguard. The text is primarily aimed at practitioners in the areas of risk management, decision making, and statistics. However, the inclusion of a fair bit of mathematical rigor renders this monograph an excellent introduction to the theory of general error, deviation, and risk measures for graduate students. It can be used as supplementary reading for graduate courses including statistical analysis, data mining, stochastic programming, financial engineering, to name a few. The high level of detail may serve useful to applied mathematicians, engineers, and statisticians interested in modeling and managing risk in various applications.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Springer Optimization and Its Applications, 85
Release date: August 2016
First published: 2014
Authors: Michael Zabarankin • Stan Uryasev
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Paperback
Pages: 249
Edition: Softcover reprint of the original 1st ed. 2014
ISBN-13: 978-1-4939-5325-7
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Computing & IT > Applications of computing > Databases > Data mining
LSN: 1-4939-5325-7
Barcode: 9781493953257

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