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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: R2,264
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Statistical Decision Problems - Selected Concepts and Portfolio Safeguard Case Studies (Paperback, Softcover reprint of the original 1st ed. 2014)
Series: Springer Optimization and Its Applications, 85
Expected to ship within 10 - 15 working days
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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.
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