國立虎尾科技大學 |

Statistics, econometrics, and forecasting /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Statistics, econometrics, and forecasting // Arnold Zellner.
其他題名:	Statistics, Econometrics & Forecasting
作者:	Zellner, Arnold,
面頁冊數:	1 online resource (xvii, 163 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Econometric models. -
電子資源:	https://doi.org/10.1017/CBO9780511493188
ISBN:	9780511493188 (ebook)

Statistics, econometrics, and forecasting /
Zellner, Arnold,

Statistics, econometrics, and forecasting /Statistics, Econometrics & ForecastingArnold Zellner. - 1 online resource (xvii, 163 pages) :digital, PDF file(s). - The Stone lectures in economics. - Stone lectures in economics..

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Preface -- 1. Lecture I: Bank of England -- 2. Lecture II: National Institute for Economic and Social Research -- 3. Appendix: On the questionable virtue of aggregation.

Based on two lectures presented as part of The Stone Lectures in Economics series, Arnold Zellner describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling. Developed by Zellner and Franz Palm, the SEMTSA approach produces an understanding of the relationship of univariate and multivariate time series forecasting models and dynamic, time series structural econometric models. As scientists and decision-makers in industry and government world-wide adopt the Bayesian approach to scientific inference, decision-making and forecasting, Zellner offers an in-depth analysis and appreciation of this important paradigm shift. Finally Zellner discusses the alternative approaches to model building and looks at how the use and development of the SEMTSA approach has led to the production of a Marshallian Macroeconomic Model that will prove valuable to many. Written by one of the foremost practitioners of econometrics, this book will have wide academic and professional appeal.

ISBN: 9780511493188 (ebook)Subjects--Topical Terms:

556561
Econometric models.

LC Class. No.: HB141 / .Z45 2004

Dewey Class. No.: 330/.01/5195

Statistics, econometrics, and forecasting /
LDR:02315nam a2200325 i 4500 001 1124566
003 UkCbUP
005 20151005020624.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2004||||enk o ||1 0|eng|d
020 $a 9780511493188 (ebook)
020 $z 9780521832878 (hardback)
020 $z 9780521540445 (paperback)
035 $a CR9780511493188
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a HB141 $b .Z45 2004
082 0 0 $a 330/.01/5195 $2 21
100 1 $a Zellner, Arnold, $e editor. $3 1439063
245 1 0 $a Statistics, econometrics, and forecasting / $c Arnold Zellner.
246 3 $a Statistics, Econometrics & Forecasting
264 1 $a Cambridge : $b Cambridge University Press, $c 2004.
300 $a 1 online resource (xvii, 163 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 1 $a The Stone lectures in economics
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 $a Preface -- 1. Lecture I: Bank of England -- 2. Lecture II: National Institute for Economic and Social Research -- 3. Appendix: On the questionable virtue of aggregation.
520 $a Based on two lectures presented as part of The Stone Lectures in Economics series, Arnold Zellner describes the structural econometric time series analysis (SEMTSA) approach to statistical and econometric modeling. Developed by Zellner and Franz Palm, the SEMTSA approach produces an understanding of the relationship of univariate and multivariate time series forecasting models and dynamic, time series structural econometric models. As scientists and decision-makers in industry and government world-wide adopt the Bayesian approach to scientific inference, decision-making and forecasting, Zellner offers an in-depth analysis and appreciation of this important paradigm shift. Finally Zellner discusses the alternative approaches to model building and looks at how the use and development of the SEMTSA approach has led to the production of a Marshallian Macroeconomic Model that will prove valuable to many. Written by one of the foremost practitioners of econometrics, this book will have wide academic and professional appeal.
650 0 $a Econometric models. $3 556561
650 0 $a Time-series analysis. $3 528412
650 0 $a Economic forecasting. $3 558397
776 0 8 $i Print version: $z 9780521832878
830 0 $a Stone lectures in economics. $3 1441724
856 4 0 $u https://doi.org/10.1017/CBO9780511493188