大葉大學圖書館 |

Simplicity, inference and modeling :keeping it sophisticatedly simple /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	117
書名/作者:	Simplicity, inference and modeling : : keeping it sophisticatedly simple // edited by Arnold Zellner, Hugo A. Keuzenkamp and Michael McAleer.
其他題名:	Simplicity, Inference & Modelling
其他作者:	Zellner, Arnold,
面頁冊數:	1 online resource (ix, 302 pages) : : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Simplicity (Philosophy)
標題:	Inference.
標題:	Econometrics.
ISBN:	9780511493164 (ebook)
內容註:	The enigma of simplicity / Hugo A. Keuzenkamp, Michael McAleer and Arnold Zellner -- What is the problem of simplicity? / Elliott Sober -- Science seeks parsimony, not simplicity : searching for pattern in phenomena / Herbert A. Simon -- A macroeconomic approach to complexity / Marcel Boumans -- The new science of simplicity / Malcolm R. Forster -- What explains complexity? / Bert Hamminga -- Occam's bonus / A.W.F. Edwards -- Simplicity, information, Kolmogorov complexity and prediction / Paul Vitányi and Ming Li -- Simplicity and statistical inference / Jorma Rissanen -- Rissanen's theorem and econometric time series / Werner Ploberger and Peter C.B. Phillips -- Parametric versus non-parametric inference : statistical models and simplicity / Aris Spanos -- The role of simplicity in an econometric model selection process / Antonio Aznar, M. Isabel Ayuda and Carmen García-Olaverri -- Simplicity in a behavioural, non-parametric context / Dirk Tempelaar -- Keep it sophisticatedly simple / Arnold Zellner -- Communication, complexity and coordination in games / Mattias Ganslandt -- The simplicity of an earnings frontier / Uwe Jensen -- Simplicity : views of some Nobel laureates in economic science / Michael McAleer.
摘要、提要註:	The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this 2002 monograph examines simplicity by asking six questions: what is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience? The book concludes with reflections on simplicity by Nobel Laureates in Economics.
電子資源:	http://dx.doi.org/10.1017/CBO9780511493164

Simplicity, inference and modeling :keeping it sophisticatedly simple /
Simplicity, inference and modeling :keeping it sophisticatedly simple /Simplicity, Inference & Modellingedited by Arnold Zellner, Hugo A. Keuzenkamp and Michael McAleer. - 1 online resource (ix, 302 pages) :digital, PDF file(s).

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

The enigma of simplicity / Hugo A. Keuzenkamp, Michael McAleer and Arnold Zellner -- What is the problem of simplicity? / Elliott Sober -- Science seeks parsimony, not simplicity : searching for pattern in phenomena / Herbert A. Simon -- A macroeconomic approach to complexity / Marcel Boumans -- The new science of simplicity / Malcolm R. Forster -- What explains complexity? / Bert Hamminga -- Occam's bonus / A.W.F. Edwards -- Simplicity, information, Kolmogorov complexity and prediction / Paul Vitányi and Ming Li -- Simplicity and statistical inference / Jorma Rissanen -- Rissanen's theorem and econometric time series / Werner Ploberger and Peter C.B. Phillips -- Parametric versus non-parametric inference : statistical models and simplicity / Aris Spanos -- The role of simplicity in an econometric model selection process / Antonio Aznar, M. Isabel Ayuda and Carmen García-Olaverri -- Simplicity in a behavioural, non-parametric context / Dirk Tempelaar -- Keep it sophisticatedly simple / Arnold Zellner -- Communication, complexity and coordination in games / Mattias Ganslandt -- The simplicity of an earnings frontier / Uwe Jensen -- Simplicity : views of some Nobel laureates in economic science / Michael McAleer.

The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this 2002 monograph examines simplicity by asking six questions: what is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience? The book concludes with reflections on simplicity by Nobel Laureates in Economics.

ISBN: 9780511493164 (ebook)Subjects--Topical Terms:

644614
Simplicity (Philosophy)

LC Class. No.: B105.S55 / S54 2001

Dewey Class. No.: 117

Simplicity, inference and modeling :keeping it sophisticatedly simple /
LDR:03327nam a22003138i 4500 001 449213
003 UkCbUP
005 20151005020622.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 161201s2001||||enk o ||1 0|eng|d
020 $a 9780511493164 (ebook)
020 $z 9780521803618 (hardback)
020 $z 9780521121354 (paperback)
035 $a CR9780511493164
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a B105.S55 $b S54 2001
082 0 0 $a 117 $2 21
245 0 0 $a Simplicity, inference and modeling : $b keeping it sophisticatedly simple / $c edited by Arnold Zellner, Hugo A. Keuzenkamp and Michael McAleer.
246 3 $a Simplicity, Inference & Modelling
264 1 $a Cambridge : $b Cambridge University Press, $c 2001.
300 $a 1 online resource (ix, 302 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
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0 $a The enigma of simplicity / Hugo A. Keuzenkamp, Michael McAleer and Arnold Zellner -- What is the problem of simplicity? / Elliott Sober -- Science seeks parsimony, not simplicity : searching for pattern in phenomena / Herbert A. Simon -- A macroeconomic approach to complexity / Marcel Boumans -- The new science of simplicity / Malcolm R. Forster -- What explains complexity? / Bert Hamminga -- Occam's bonus / A.W.F. Edwards -- Simplicity, information, Kolmogorov complexity and prediction / Paul Vitányi and Ming Li -- Simplicity and statistical inference / Jorma Rissanen -- Rissanen's theorem and econometric time series / Werner Ploberger and Peter C.B. Phillips -- Parametric versus non-parametric inference : statistical models and simplicity / Aris Spanos -- The role of simplicity in an econometric model selection process / Antonio Aznar, M. Isabel Ayuda and Carmen García-Olaverri -- Simplicity in a behavioural, non-parametric context / Dirk Tempelaar -- Keep it sophisticatedly simple / Arnold Zellner -- Communication, complexity and coordination in games / Mattias Ganslandt -- The simplicity of an earnings frontier / Uwe Jensen -- Simplicity : views of some Nobel laureates in economic science / Michael McAleer.
520 $a The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this 2002 monograph examines simplicity by asking six questions: what is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience? The book concludes with reflections on simplicity by Nobel Laureates in Economics.
650 0 $a Simplicity (Philosophy) $3 644614
650 0 $a Inference. $3 433195
650 0 $a Econometrics. $3 186734
700 1 $a Zellner, Arnold, $e author. $3 643264
700 1 $a Keuzenkamp, Hugo A., $e author. $3 643785
700 1 $a McAleer, Michael, $e editor. $3 644613
776 0 8 $i Print version: $z 9780521803618
856 4 0 $u http://dx.doi.org/10.1017/CBO9780511493164