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ISBN 10: 142006424X ISBN 13: 9781420064247
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Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477741 ISBN 13: 9781032477749
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Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477741 ISBN 13: 9781032477749
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Published by Chapman and Hall/CRC, 2023
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Published by Chapman and Hall/CRC, 2023
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Paperback. Condition: Brand New. 376 pages. 9.19x6.13x0.63 inches. In Stock.
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Condition: New. James LeSage, Robert Kelley PaceAlthough interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics.
Language: English
Published by Chapman and Hall/CRC, 2008
ISBN 10: 142006424X ISBN 13: 9781420064247
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Taschenbuch. Condition: Neu. Introduction to Spatial Econometrics | James Lesage (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | CRC Press | EAN 9781032477749 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Language: English
Published by Chapman and Hall/CRC, 2008
ISBN 10: 142006424X ISBN 13: 9781420064247
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Published by Taylor & Francis Group, 2008
ISBN 10: 142006424X ISBN 13: 9781420064247
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Language: English
Published by Chapman and Hall/CRC, 2008
ISBN 10: 142006424X ISBN 13: 9781420064247
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Published by Chapman and Hall/CRC, 2008
ISBN 10: 142006424X ISBN 13: 9781420064247
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Published by Chapman and Hall/CRC, 2009
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Published by Taylor & Francis Ltd, 2008
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Language: English
Published by Chapman and Hall/CRC, 2008
ISBN 10: 142006424X ISBN 13: 9781420064247
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Language: English
Published by Chapman and Hall/CRC, 2008
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Language: English
Published by Taylor & Francis Group, 2008
ISBN 10: 142006424X ISBN 13: 9781420064247
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 374.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 1st edition. 340 pages. 9.45x6.30x0.94 inches. In Stock.
paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2014-01-01 Pages: 283 Language: Chinese Publisher: University Press ' economics textbook selection Renditions : Introduction to Spatial Econometrics This book describes the deal between the observed variables are independent breach assuming a return to the traditional method of a variety of spatial data ; also analyzed a broader range of other topics . including maximum likelihood estimation. Bayesian estimation . spatial regression models of different types of settings a.Four Satisfaction guaranteed,or money back.
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2018-05-01 Pages: 240 Publisher: Renmin University of China Press This book is a new work on the comprehensive introduction of spatial econometrics based on R software. First of all. this book systematically and succinctly analyzes the basic assumptions of classical linear regression models and the significance of increasing spatial factor analysis. Subsequently. the book introduces the reader.
Language: English
Published by Chapman and Hall/CRC, 2023
ISBN 10: 1032477741 ISBN 13: 9781032477749
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. It explores a wide range of alternative topics, including maximum likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different circumstances.Leaders in this field, the authors clarify the often-mystifying phenomenon of simultaneous spatial dependence. By presenting new methods, they help with the interpretation of spatial regression models, especially ones that include spatial lags of the dependent variable. The authors also examine the relationship between spatiotemporal processes and long-run equilibrium states that are characterized by simultaneous spatial dependence. MATLAB® toolboxes useful for spatial econometric estimation are available on the authors' websites.This work covers spatial econometric modeling as well as numerous applied illustrations of the methods. It encompasses many recent advances in spatial econometric models-including some previously unpublished results. 376 pp. Englisch.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. It explores a wide range of alternative topics, including maximum likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different circumstances.Leaders in this field, the authors clarify the often-mystifying phenomenon of simultaneous spatial dependence. By presenting new methods, they help with the interpretation of spatial regression models, especially ones that include spatial lags of the dependent variable. The authors also examine the relationship between spatiotemporal processes and long-run equilibrium states that are characterized by simultaneous spatial dependence. MATLAB® toolboxes useful for spatial econometric estimation are available on the authors' websites.This work covers spatial econometric modeling as well as numerous applied illustrations of the methods. It encompasses many recent advances in spatial econometric models-including some previously unpublished results.