9780471953111 - Maximum Entropy Econometrics: Robust Estimation with Limited Data: 16 Financial Economics and Quantitative Analysis Series by Golan, Amos; Judge, George G ; Miller,... (22 results)

Second Edition. Near fine copy in the original colour-printed boards. Slightest suggestion only of dust-dulling to the spine bands and panel edges. Remains particularly well-preserved overall; tight, bright, clean and strong. Physical description; xvi, 307 pages : illustrations ; 24 cm. Notes; Includes bibliographical references and index. Contents; The Classical Maximum Entropy Formalism: A Review -- PURE INVERSE PROBLEMS -- Basic Maximum Entropy Principle: Formulation and Extensions -- Formulation and Solution of Pure Inverse Problems -- Generalized Pure Inverse Problems -- LINEAR INVERSE PROBLEMS WITH NOISE -- Generalized Maximum Entropy (GME) and Cross-Entropy (GCE) Formulations -- Finite Sample Extensions of GME-GCE -- GENERAL LINEAR MODEL APPLICATIONS OF GME-GCE -- GME-GCE Solutions to Ill-conditioned Problems -- General Linear Statistical Model with a Non-scalar Identity Covariance Matrix Statistical Model Selection -- A SYSTEM OF ECONOMIC STATISTICAL RELATIONS -- Sets of Linear Statistical Models -- Simultaneous Equations Statistical Model -- LINEAR AND NON-LINEAR DYNAMIC SYSTEMS -- Estimation and Inference of Dynamic Linear Inverse Problems -- Linear and Non-linear Dynamic Systems with Control -- DISCRETE CHOICE-CENSORED PROBLEMS -- Recovering Information from Multinomial Response Data -- Recovering Information from Censored Response Data -- COMPUTATIONAL NOTES -- Computing GME-GCE Solutions. Subjects; Econometrics. Maximum entropy method. Estimation theory. entropy. mathematical models. 3 Kg.

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Second Edition. Near fine copy in the original colour-printed boards. Slightest suggestion only of dust-dulling to the spine bands and panel edges. Remains particularly well-preserved overall; tight, bright, clean and strong. Physical description; xvi, 307 pages : illustrations ; 24 cm. Notes; Includes bibliographical references and index. Contents; The Classical Maximum Entropy Formalism: A Review -- PURE INVERSE PROBLEMS -- Basic Maximum Entropy Principle: Formulation and Extensions -- Formulation and Solution of Pure Inverse Problems -- Generalized Pure Inverse Problems -- LINEAR INVERSE PROBLEMS WITH NOISE -- Generalized Maximum Entropy (GME) and Cross-Entropy (GCE) Formulations -- Finite Sample Extensions of GME-GCE -- GENERAL LINEAR MODEL APPLICATIONS OF GME-GCE -- GME-GCE Solutions to Ill-conditioned Problems -- General Linear Statistical Model with a Non-scalar Identity Covariance Matrix Statistical Model Selection -- A SYSTEM OF ECONOMIC STATISTICAL RELATIONS -- Sets of Linear Statistical Models -- Simultaneous Equations Statistical Model -- LINEAR AND NON-LINEAR DYNAMIC SYSTEMS -- Estimation and Inference of Dynamic Linear Inverse Problems -- Linear and Non-linear Dynamic Systems with Control -- DISCRETE CHOICE-CENSORED PROBLEMS -- Recovering Information from Multinomial Response Data -- Recovering Information from Censored Response Data -- COMPUTATIONAL NOTES -- Computing GME-GCE Solutions. Subjects; Econometrics. Maximum entropy method. Estimation theory. entropy. mathematical models. 1 Kg.

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Condition: New. pp. 324.

Condition: New. 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. . 1996. 1st Edition. Hardcover. . . . .

Condition: New. pp. 324 1st Edition.

Gebunden. Condition: New. 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.&Uumlber den AutorAmos Golan is a professor .

Condition: New. 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. . 1996. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Buch. Condition: Neu. Neuware - In the theory and practice of econometrics the model, the method and the data are all interdependent links in information recovery-estimation and inference. Seldom, however, are the economic and statistical models correctly specified, the data complete or capable of being replicated, the estimation rules optimal and the inferences free of distortion. Faced with these problems, Maximum Entropy Economeirics provides a new basis for learning from economic and statistical models that may be non-regular in the sense that they are ill-posed or underdetermined and the data are partial or incomplete. By extending the maximum entropy formalisms used in the physical sciences, the authors present a new set of generalized entropy techniques designed to recover information about economic systems. The authors compare the generalized entropy techniques with the performance of the relevant traditional methods of information recovery and clearly demonstrate theories with applications including.

Hardcover. Condition: Brand New. 1st edition. 307 pages. 9.50x6.50x1.00 inches. In Stock.

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Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condition: new. Hardcover. 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 torecover information about economic systems. The authors compare thegeneralized entropy techniques with the performance of the relevanttraditional methods of information recovery and clearly demonstratetheories with applications including * Pure inverse problems that include first order Markov processes,and input-output, multisectoral or SAM models to * Inverse problems with noise that include statistical modelssubject to ill-conditioning, non-normal errors, heteroskedasticity,autocorrelation, censored, multinomial and simultaneous responsedata, as well as model selection and non-stationary and dynamiccontrol problems Maximum Entropy Econometrics will be of interest to econometricianstrying to devise procedures for recovering information from partialor incomplete data, as well as quantitative economists in financeand business, statisticians, and students and applied researchersin econometrics, engineering and the physical sciences. 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. While the book contains technical and theoretical material, it also presents many applied examples which will make it accessible for those not interested in the theoretical underpinning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: Brand New. 1st edition. 307 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.

Hardcover. Condition: new. Hardcover. 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 torecover information about economic systems. The authors compare thegeneralized entropy techniques with the performance of the relevanttraditional methods of information recovery and clearly demonstratetheories with applications including * Pure inverse problems that include first order Markov processes,and input-output, multisectoral or SAM models to * Inverse problems with noise that include statistical modelssubject to ill-conditioning, non-normal errors, heteroskedasticity,autocorrelation, censored, multinomial and simultaneous responsedata, as well as model selection and non-stationary and dynamiccontrol problems Maximum Entropy Econometrics will be of interest to econometricianstrying to devise procedures for recovering information from partialor incomplete data, as well as quantitative economists in financeand business, statisticians, and students and applied researchersin econometrics, engineering and the physical sciences. 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. While the book contains technical and theoretical material, it also presents many applied examples which will make it accessible for those not interested in the theoretical underpinning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.