Unobserved variables : models and misunderstandings
The classical statistical problem typically involves a probability distribution which depends on a number of unknown parameters. The form of the distribution may be known, partially or completely, and inferences have to be made on the basis of a sample of observations drawn from the distribution; of...
Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edizioa: | 1st ed. 2013. |
| Saila: | SpringerBriefs in Statistics
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| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Unobserved Variables, Models and Misunderstandings, by David J. Bartholomew, Berlin (Heidelberg), Springer, 2013, 1 vol. (86 p.), SpringerBriefs in Statistics, 978-3-642-39911-4 • Unobserved Variables, Texte imprimé, 9783642399138 |
Aurkibidea:
- 1.Unobserved Variables 2.Measurement, Estimation and Prediction 3.Simple Mixtures 4.Models for Ability 5.A General Latent Variable Model 6.Prediction of Latent Variables 7.Identifiability 8.Categorical Variables 9.Models for Time Series 10.Missing Data 11.Social Measurement 12.Bayesian and Computational Methods 13.Unity and Diversity