Statistical Decision Problems: Selected Concepts and Portfolio Safeguard Case Studies
Author:   Michael Zabarankin ,  Stan Uryasev
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2014
Volume:   85
ISBN:  

9781493953257


Pages:   249
Publication Date:   19 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Statistical Decision Problems: Selected Concepts and Portfolio Safeguard Case Studies


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Full Product Details

Author:   Michael Zabarankin ,  Stan Uryasev
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2014
Volume:   85
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   4.044kg
ISBN:  

9781493953257


ISBN 10:   1493953257
Pages:   249
Publication Date:   19 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Random Variables.- 2. Deviation, Risk, and Error Measures.- 3. Probabilistic Inequalities.- 4. Maximum Likelihood Method.- 5. Entropy Maximization.- 6. Regression Models.- 7. Classification.- 8. Statistical Decision Models with Risk and Deviation.- 9. Portfolio Safeguard Case Studies.- Index.- References.​

Reviews

From the book reviews: The book offers a chapter-length primer on probability and statistical risk (section I), followed by a review of standard problems and procedures, all from a statistical decision theory viewpoint (section II). The heart of the book is section III, which shows in detail how to handle many such problems using the Portfolio Safeguard software package. ... The book will mostly benefit readers who use or consider using Portfolio Safeguard and are looking for a complementary, textbook-style treatment. (Joerg Stoye, zbMATH, Vol. 1291, 2014)


From the book reviews: “The book offers a chapter-length primer on probability and statistical risk (section I), followed by a review of standard problems and procedures, all from a statistical decision theory viewpoint (section II). The heart of the book is section III, which shows in detail how to handle many such problems using the Portfolio Safeguard software package. … The book will mostly benefit readers who use or consider using Portfolio Safeguard and are looking for a complementary, textbook-style treatment.” (Jörg Stoye, zbMATH, Vol. 1291, 2014)


From the book reviews: The book offers a chapter-length primer on probability and statistical risk (section I), followed by a review of standard problems and procedures, all from a statistical decision theory viewpoint (section II). The heart of the book is section III, which shows in detail how to handle many such problems using the Portfolio Safeguard software package. ... The book will mostly benefit readers who use or consider using Portfolio Safeguard and are looking for a complementary, textbook-style treatment. (Jorg Stoye, zbMATH, Vol. 1291, 2014)


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