Da: Midtown Scholar Bookstore, Harrisburg, PA, U.S.A.
EUR 45,26
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Aggiungi al carrellohardcover. Condizione: Very Good. no dust jacket as issued No dust jacket. Very Good hardcover with light shelfwear - NICE! Standard-sized.
EUR 48,33
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Aggiungi al carrelloCondizione: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
EUR 118,53
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Aggiungi al carrelloCondizione: new.
EUR 134,33
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EUR 129,65
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Aggiungi al carrelloCondizione: New. SUPER FAST SHIPPING.
EUR 137,30
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EUR 147,34
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 139,91
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Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 139,90
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Aggiungi al carrelloCondizione: New.
Editore: John Wiley & Sons Inc, New York, 2005
ISBN 10: 0471679321 ISBN 13: 9780471679325
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
Prima edizione
EUR 164,58
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data. The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including: * Linear models and policy choices * Modeling with latent variables and missing data * Time series models and prediction * Comparison and evaluation of models The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB? and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets. This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy. Bayesian analysis is a highly effective tool in the many cases when economic decisions are based on limited or imperfect information. For students and professionals familiar with basic econometrics, this volume is an accessible entry point into the Bayesian method. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 148,41
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 163,70
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 635.
EUR 176,78
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Aggiungi al carrelloCondizione: New. pp. xi + 300.
EUR 187,71
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Aggiungi al carrelloCondizione: New. pp. xi + 300.
Editore: John Wiley & Sons Inc, New York, 2005
ISBN 10: 0471679321 ISBN 13: 9780471679325
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
Prima edizione
EUR 153,13
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data. The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including: * Linear models and policy choices * Modeling with latent variables and missing data * Time series models and prediction * Comparison and evaluation of models The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB? and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets. This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy. Bayesian analysis is a highly effective tool in the many cases when economic decisions are based on limited or imperfect information. For students and professionals familiar with basic econometrics, this volume is an accessible entry point into the Bayesian method. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 181,91
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Aggiungi al carrelloCondizione: New. Bayesian analysis is a highly effective tool in the many cases when economic decisions are based on limited or imperfect information. For students and professionals familiar with basic econometrics, this volume is an accessible entry point into the Bayesian method. Series: Wiley Series in Probability and Statistics. Num Pages: 320 pages, , black & white illustrations. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 241 x 164 x 24. Weight in Grams: 620. . 2005. 1st Edition. Hardcover. . . . .
EUR 164,16
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Tools to improve decision making in an imperfect world.
EUR 204,97
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 300 pages. 9.75x6.50x0.75 inches. In Stock.
Editore: John Wiley & Sons Inc, New York, 2005
ISBN 10: 0471679321 ISBN 13: 9780471679325
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
Prima edizione
EUR 203,85
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in the theory of inference and optimal decision making. Contemporary Bayesian Econometrics and Statistics provides readers with state-of-the-art simulation methods and models that are used to solve complex real-world problems. Armed with a strong foundation in both theory and practical problem-solving tools, readers discover how to optimize decision making when faced with problems that involve limited or imperfect data. The book begins by examining the theoretical and mathematical foundations of Bayesian statistics to help readers understand how and why it is used in problem solving. The author then describes how modern simulation methods make Bayesian approaches practical using widely available mathematical applications software. In addition, the author details how models can be applied to specific problems, including: * Linear models and policy choices * Modeling with latent variables and missing data * Time series models and prediction * Comparison and evaluation of models The publication has been developed and fine- tuned through a decade of classroom experience, and readers will find the author's approach very engaging and accessible. There are nearly 200 examples and exercises to help readers see how effective use of Bayesian statistics enables them to make optimal decisions. MATLAB? and R computer programs are integrated throughout the book. An accompanying Web site provides readers with computer code for many examples and datasets. This publication is tailored for research professionals who use econometrics and similar statistical methods in their work. With its emphasis on practical problem solving and extensive use of examples and exercises, this is also an excellent textbook for graduate-level students in a broad range of fields, including economics, statistics, the social sciences, business, and public policy. Bayesian analysis is a highly effective tool in the many cases when economic decisions are based on limited or imperfect information. For students and professionals familiar with basic econometrics, this volume is an accessible entry point into the Bayesian method. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
EUR 225,39
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Bayesian analysis is a highly effective tool in the many cases when economic decisions are based on limited or imperfect information. For students and professionals familiar with basic econometrics, this volume is an accessible entry point into the Bayesian method. Series: Wiley Series in Probability and Statistics. Num Pages: 320 pages, , black & white illustrations. BIC Classification: KCH. Category: (P) Professional & Vocational. Dimension: 241 x 164 x 24. Weight in Grams: 620. . 2005. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Editore: John Wiley & Sons, New York, 2005
Da: APPLEDORE BOOKS, ABAA, WACCABUC, NY, U.S.A.
Prima edizione
EUR 87,92
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Aggiungi al carrelloLaminate boards. Condizione: Fine. An immaculate copy of the 2005 1st edition. Clean and Fine in its red and blue laminate boards. Octavo, part of the "Wiley Series in Probability and Statistics".
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 168,39
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 635.
Da: Revaluation Books, Exeter, Regno Unito
EUR 193,71
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 300 pages. 9.75x6.50x0.75 inches. In Stock. This item is printed on demand.