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Complete and incomplete econometric ...

Geweke, John.

Complete and incomplete econometric models

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Complete and incomplete econometric modelsJohn Geweke.
作者:	Geweke, John.
出版者:	Princeton :Princeton University Press,©2010.
面頁冊數:	1 online resource (vi, 165 p.) :ill.
附註:	Series statement from jacket.
標題:	Econometric models.
電子資源:	http://www.jstor.org/stable/10.2307/j.ctt7t5jp
ISBN:	9781400835249 (electronic bk.)

Complete and incomplete econometric models
Geweke, John.

Complete and incomplete econometric models[electronic resource] /John Geweke. - Princeton :Princeton University Press,©2010. - 1 online resource (vi, 165 p.) :ill. - [The Econometric and Tinbergen Institutes lectures]. - Econometric and Tinbergen Institutes lectures..

Series statement from jacket.

Includes bibliographical references (p. 161-165).

Introduction -- The Bayesian Paradigm --Prior Predictive Analysis and Model Evalustion -- Incomplete Structural Models -- An Incomplete Model Space.

"Summarizing and extending recent advances in Bayesian econometrics, Geweke shows how simple modern simulation methods can complement the creative process of model formulation. These methods, which are accessible to economics PhD students as well as to practicing applied econometricians, streamline the processes of model development and specification checking. Complete with illustrations from a wide variety of applications, this is an important contribution to econometrics that will interest economists and PhD students alike."--Jacket.

ISBN: 9781400835249 (electronic bk.)Subjects--Topical Terms:

183244
Econometric models.

LC Class. No.: HB141 / .G49 2010

Dewey Class. No.: 330.01/5195

Complete and incomplete econometric models
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500 $a Series statement from jacket.
504 $a Includes bibliographical references (p. 161-165).
505 0 $a Introduction -- The Bayesian Paradigm --Prior Predictive Analysis and Model Evalustion -- Incomplete Structural Models -- An Incomplete Model Space.
520 1 $a "Summarizing and extending recent advances in Bayesian econometrics, Geweke shows how simple modern simulation methods can complement the creative process of model formulation. These methods, which are accessible to economics PhD students as well as to practicing applied econometricians, streamline the processes of model development and specification checking. Complete with illustrations from a wide variety of applications, this is an important contribution to econometrics that will interest economists and PhD students alike."--Jacket.
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