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Titre :
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Meta analysis : a guide to calibrating and combining statistical evidence
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Auteurs :
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E. Kulinskaya, Auteur ;
S. Morgenthaler, Auteur ;
R. Staudte, Auteur
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Type de document :
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ouvrage
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Editeur :
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New York [USA] : Wiley - Interscience Publishers, 2008
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Collection :
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Wiley Series in Probability and Statistics (USA), ISSN 1940-6517
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ISBN/ISSN/EAN :
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978-0-470-02864-3
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Format :
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260 p. / ill. / 23 cm
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Langues:
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= Anglais
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Index. décimale :
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519.5 = Statistique mathématique
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Mots-clés:
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STATISTIQUES
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META ANALYSE
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GUIDE
;
AJUSTEMENT
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Résumé :
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Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts – The Handbook , and The Theory . The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology. This is a coherent introduction to the statistical concepts required to understand the authors' thesis that evidence in a test statistic can often be calibrated when transformed to the right scale
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