The Jackknife and Bootstrap (Springer Series in Statistics)

Synopsis

Ch. 1. Introduction -- Ch. 2. Theory For The Jackknife -- Ch. 3. Theory For The Bootstrap -- Ch. 4. Bootstrap Confidence Sets And Hypothesis Tests -- Ch. 5. Computational Methods -- Ch. 6. Applications To Sample Surveys -- Ch. 7. Applications To Linear Models -- Ch. 8. Applications To Nonlinear, Nonparametric, And Multivariate Models -- Ch. 9. Applications To Time Series And Other Dependent Data -- Ch. 10. Bayesian Bootstrap And Random Weighting -- Appendix A. Asymptotic Results -- Appendix B. Notation. Jun Shao, Dongsheng Tu. Includes Bibliographical References And Index.