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Statistics, Econometrics and Forecas...
~
Weale, CBE, Martin.
Statistics, Econometrics and Forecasting.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Statistics, Econometrics and Forecasting./
Author:
Zellner, Arnold.
other author:
Weale, CBE, Martin.
Published:
Cambridge :Cambridge University Press, : 2004.,
Description:
183 p.
Subject:
Econometric models. -
Online resource:
Click here to view book
ISBN:
9780511493188 (electronic bk.)
Statistics, Econometrics and Forecasting.
Zellner, Arnold.
Statistics, Econometrics and Forecasting.
[electronic resource]. - Cambridge :Cambridge University Press,2004. - 183 p.
Cover; Half-title; Title; Copyright; Contents; Figures; Tables; Preface; lecture 1 Bank of England; lecture 2 National Institute of Economic and Social Research; appendix On the questionable virtue of aggregation; Notes; References; Subject index; Author index
Written by one of the foremost practitioners and exponents of econometrics in the world, this book describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling, and provides a careful analysis and appreciation of the paradigm shift back to the Bayesian approach to scientific inference.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511493188 (electronic bk.)Subjects--Topical Terms:
131238
Econometric models.
Index Terms--Genre/Form:
96803
Electronic books.
LC Class. No.: HB141 .Z45 2004eb
Dewey Class. No.: 330.015195
Statistics, Econometrics and Forecasting.
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183 p.
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Cover; Half-title; Title; Copyright; Contents; Figures; Tables; Preface; lecture 1 Bank of England; lecture 2 National Institute of Economic and Social Research; appendix On the questionable virtue of aggregation; Notes; References; Subject index; Author index
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Written by one of the foremost practitioners and exponents of econometrics in the world, this book describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling, and provides a careful analysis and appreciation of the paradigm shift back to the Bayesian approach to scientific inference.
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Click here to view book
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http://ebooks.cambridge.org/ebook.jsf?bid=CBO9780511493188
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