Bootstrapping : a nonparametric approach to statistical inference

Bootstrapping : a nonparametric approach to statistical inference /

Saved in:
Bibliographic Details
Main Author: Mooney, Christopher Z.
Other Authors: Duval, Robert D.
Format: Book
Language:English
Published: Newbury Park, Calif. : Sage Publications, ©1993.
Series:Quantitative applications in the social sciences no. 07-095.
Subjects:
Social sciences > Statistical methods
Bootstrap (Statistics)
Inference
Statistics, Nonparametric
Sciences sociales > Méthodes statistiques.
Bootstrap (Statistique)
Inférence (Logique)
Non-parametrische statistiek.
Bootstrap (statistiek)
Statistische methoden.
Sociale wetenschappen.
Estatistica aplicada as ciencias sociais.
Sciences sociales > Méthodes statistiques
Échantillonnage (statistique)
Estimation, Théorie de l'
Bootstrap (statistique)
Inférence
Statistique non paramétrique
Social sciences > Statistics
Table of Contents:
  • 1. Introduction
  • Traditional parametric statistical inference
  • Bootstrap statistical inference
  • Bootstrapping a regression model
  • Theoretical justification
  • The jackknife
  • Monte Carlo evaluation of the bootstrap
  • 2. Statistical inference using the bootstrap
  • Bias estimation
  • Bootstrap confidence intervals
  • 3. Applications of bootstrap confidence intervals
  • Confidence intervals for statistics with unknown sampling distributions
  • The sample mean from a small sample
  • The difference between two sample medians
  • Inference when traditional distributional assumptions are violated
  • OLS regression with a nonnormal error structure
  • 4. Conclusion
  • Future work
  • Limitation of the bootstrap
  • Concluding remarks.

Similar Items