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Statistics, Econometrics and Forecas...

Zellner, Arnold.

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Statistics, Econometrics and Forecasting.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistics, Econometrics and Forecasting./
作者:	Zellner, Arnold.
其他作者:	Weale, CBE, Martin.
出版者:	Cambridge :Cambridge University Press, : 2004.,
面頁冊數:	183 p.
內容註:	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
標題:	Econometric models. -
電子資源:	http://dx.doi.org/10.1017/CBO9780511493188Click 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:

542933
Econometric models.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: HB141 .Z45 2004eb

Dewey Class. No.: 330.015195

Statistics, Econometrics and Forecasting.
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520 $a 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.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
650 4 $a Econometric models. $3 542933
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