Description |
1 online resource (ix, 302 pages) |
Physical Medium |
polychrome |
Description |
text file |
Contents |
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. |
Summary |
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?' |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
Simplicity (Philosophy)
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Simplicity (Philosophy) |
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Inference.
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Inference. |
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Econometrics.
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Econometrics. |
Genre/Form |
Electronic books.
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Added Author |
Zellner, Arnold.
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Keuzenkamp, Hugo A.
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McAleer, Michael.
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Other Form: |
Print version: Simplicity, inference and modeling. Cambridge ; New York : Cambridge University Press, 2002 0521803616 (DLC) 2002280036 (OCoLC)47062880 |
ISBN |
0511041594 (electronic book) |
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9780511041594 (electronic book) |
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0511043813 (electronic book) |
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9780511043819 (electronic book) |
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0511119593 (electronic book) |
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9780511119590 (electronic book) |
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9780511493164 (electronic book) |
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0511493169 (electronic book) |
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0521803616 |
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9780521803618 |
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1280154861 |
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9781280154867 |
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