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Amos Golan - Maximum Entropy Econometrics - 9780471953111 - V9780471953111
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Maximum Entropy Econometrics

€ 148.21
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Description for Maximum Entropy Econometrics Hardcover. This book offers solutions to the problems commonly encountered by economists trying to squeeze information out of partial or incomplete data--which is usually what they have to work with. Series: Financial Economics & Quantitative Analysis Series. Num Pages: 324 pages, Illustrations. BIC Classification: KCH. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 239 x 162 x 25. Weight in Grams: 632.
In the theory and practice of econometrics the model, the methodand the data are all interdependent links in informationrecovery-estimation and inference. Seldom, however, are theeconomic and statistical models correctly specified, the datacomplete or capable of being replicated, the estimation rulesoptimal and the inferences free of distortion. Faced with theseproblems, Maximum Entropy Economeirics provides a new basis forlearning from economic and statistical models that may benon-regular in the sense that they are ill-posed or underdeterminedand the data are partial or incomplete. By extending the maximumentropy formalisms used in the physical sciences, the authorspresent a new set of generalized entropy techniques designed ... Read more

Product Details

Format
Hardback
Publication date
1996
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
324
Condition
New
Series
Financial Economics & Quantitative Analysis Series
Number of Pages
336
Place of Publication
New York, United States
ISBN
9780471953111
SKU
V9780471953111
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Amos Golan
Amos Golan is a professor of economics and directs the Info-Metrics Institute at American University. He is also an External Professor at the Santa Fe Institute and a Senior Associate at Pembroke College, Oxford. His research is primarily in the interdisciplinary field of info-metrics - the science and practice of information processing, modeling, inference, and problem solving with insufficient information. ... Read more

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