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Meta Analysis

A Guide to Calibrating and Combining Statistical Evidence
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Paru le : 2008-04-15

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 par...
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Description du livre

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.

À propos

Auteur
Elena Kulinskaya , Stephan Morgenthaler , Robert G. Staudte
Éditeur
Wiley-Interscience
Collection
Wiley Series in Probability and Statistics
Parution
2008-04-15
Pages
288 pages
EAN papier
9780470028643

Caractéristiques détaillées - droits

EAN PDF
9780470985526
Prix
76,27 €
Nombre pages copiables
0
Nombre pages imprimables
288
Taille du fichier
2734 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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