Simplicity, inference and modeling: keeping it sophisticatedly simple
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Bibliographische Detailangaben
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge Cambridge University Press 2002
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Beschreibung: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. Using a multidisciplinary perspective this monograph asks 'What is meant by simplicity?'
Beschreibung:1 Online-Ressource (ix, 302 p.)
ISBN:0511041594
0511043813
0511119593
0511493169
0521803616
9780511041594
9780511043819
9780511119590
9780511493164
9780521803618

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