Bootstrap Methods and Their Application

This Book Gives A Broad And Up-To-Date Coverage Of Bootstrap Methods With Numerous Applied Examples Developed In A Coherent Way With The Necessary Theoretical Basis. Applications Include Stratified Data; Finite Populations; Censored And Missing Data; Linear Nonlinear And Smooth Regression Models; Classification; Time Series And Spatial Problems. Special Features Of The Book Include: Extensive Discussion Of Significance Tests And Confidence Intervals; Material On Various Diagnostic Methods; And Methods For Efficient Computation Including Improved Monte Carlo Simulation. Each Chapter Includes Both Practical And Theoretical Exercises. Included With The Book Is A Disk Of Purpose-Written S-Plus Programs For Implementing The Methods Described In The Text. Computer Algorithms Are Clearly Described And Computer Code Is Included On A 3-Inch 1.4M Disk For Use With Ibm Computers And Compatible Machines. Users Must Have The S-Plus Computer Application. Author Resource Page: StatEpfl.Ch/Davison/Bma/