Zabarankin michael (16 Ergebnisse)

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Used. pp. 264.

Zustand: Used. pp. 264.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. reprint edition. 263 pages. 9.25x6.25x0.75 inches. In Stock.

Hardcover. Zustand: Brand New. 249 pages. 9.25x6.25x0.75 inches. In Stock.

Zustand: New. Presents those aspects of functional analysis that are extensively used in various applications to mechanics and control theory. Including numerous examples and diagrams, this volume is intended for those with a background in graduate mathematics. Series: Systems & Control: Foundations and Applications. Num Pages: 228 pages, biography. BIC Classification: TJFM. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College); (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 15. Weight in Grams: 1160. . 2005. Hardback. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Zustand: New. pp. 246 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Taschenbuch. Zustand: Neu. Statistical Decision Problems | Selected Concepts and Portfolio Safeguard Case Studies | Michael Zabarankin (u. a.) | Taschenbuch | Springer Optimization and Its Applications | xiv | Englisch | 2016 | Springer | EAN 9781493953257 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: New. In English.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 264 | Sprache: Englisch | Produktart: Bücher | 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.…

Taschenbuch. Zustand: Neu. Robust Optimization-Directed Design | Andrew J. Kurdila (u. a.) | Taschenbuch | Nonconvex Optimization and Its Applications | ix | Englisch | 2014 | Springer | EAN 9781461498346 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Zustand: Brand New. 284 pages. 9.25x6.10x0.64 inches. In Stock.