Uncertainty Analysis in Econometrics with Applications (Record no. 58348)

000 -LEADER
fixed length control field 03301nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-642-35443-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112542.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121214s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642354434
-- 978-3-642-35443-4
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Uncertainty Analysis in Econometrics with Applications
Sub Title Proceedings of the Sixth International Conference of the Thailand Econometric Society TES'2013 /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVI, 319 p. 34 illus.
490 1# - SERIES STATEMENT
Series statement Advances in Intelligent Systems and Computing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Part I Keynote Addresses -- Part II Fundamental Theory -- Part III Applications.
520 ## - SUMMARY, ETC.
Summary, etc Unlike uncertain dynamical systems in physical sciences where models for prediction are somewhat given to us by physical laws, uncertain dynamical systems in economics need statistical models. In this context, modeling and optimization surface as basic ingredients for fruitful applications. This volume concentrates on the current methodology of copulas and maximum entropy optimization. This volume contains main research presentations at the Sixth International Conference of the Thailand Econometrics Society held at the Faculty of Economics, Chiang Mai University, Thailand, during January 10-11, 2013. It consists of keynote addresses, theoretical and applied contributions. These contributions to Econometrics are somewhat centered around the theme of Copulas and Maximum Entropy Econometrics. The method of copulas is applied to a variety of economic problems where multivariate model building and correlation analysis are needed. As for the art of choosing copulas in practical problems, the principle of maximum entropy surfaces as a potential way to do so. The state-of-the-art of Maximum Entropy Econometrics is presented in the first keynote address, while the second keynote address focusses on testing stationarity in economic time series data.
700 1# - AUTHOR 2
Author 2 Huynh, Van-Nam.
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Author 2 Kreinovich, Vladik.
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Author 2 Sriboonchitta, Songsak.
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Author 2 Suriya, Komsan.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-35443-4
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Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
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-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
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-- Computational intelligence.
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-- Econometrics.
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-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
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-- Artificial Intelligence (incl. Robotics).
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-- Econometrics.
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-- 2194-5357 ;
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-- ZDB-2-ENG

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