Large Sample Techniques for Statistics
This book offers a comprehensive guide to large sample techniques in statistics. More importantly, it focuses on thinking skills rather than just what formulae to use; it provides motivations, and intuition, rather than detailed proofs; it begins with very simple techniques, and connects theory and...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Udgivelse: | 1. |
| Serier: | Springer Texts in Statistics
|
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Large sample techniques for statistics, Jiming Jiang, New York, Springer, 2010, 1 vol. (XVII-609 p.), Springer texts in statistics, 978-1-441-96826-5 • Large sample techniques for statistics, Jiming Jiang, New York, Springer, 2010, 1 vol. (XVII-609 p.), Springer texts in statistics, 978-1-441-96826-5 • Large Sample Techniques for Statistics, Texte imprimé, 9781441968289 • Large Sample Techniques for Statistics, Texte imprimé, 9781461426233 |
Indholdsfortegnelse:
- The ?-? Arguments Modes of Convergence Big O, Small o, and the Unspecified c Asymptotic Expansions Inequalities Sums of Independent Random Variables Empirical Processes Martingales Time and Spatial Series Stochastic Processes Nonparametric Statistics Mixed Effects Models Small-Area Estimation Jackknife and Bootstrap Markov-Chain Monte Carlo