Statistical decision theory
This monograph presents a radical rethinking of how elementary inferences should be made in statistics, implementing a comprehensive alternative to hypothesis testing in which the control of the probabilities of the errors is replaced by selecting the course of action (one of the available options)...
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| Glavni autor: | |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Izdanje: | 1st ed. 2013. |
| Serija: | SpringerBriefs in Statistics
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| Teme: | |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Bilješka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistical Decision Theory, Texte imprimé, 9783642404344 • Statistical Decision Theory, Nicholas T. Longford, 2013, Heidelberg, Springer, 1 vol. (X-124 p.), SpringerBriefs in Statistics, 978-3-642-40432-0 |
Sadržaj:
- Preface 1.Introduction 2.Estimating the Mean 3.Estimating the Variance 4.The Bayesian Paradigm 5.Data from other Distributions 6.Classification 7.Small-area Estimation 8.Study Design Index