num_pages: 594
description: 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 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 
language: English
title: Bootstrap Methods and their Application
titlecomplete: Bootstrap Methods and their Application (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 1)
genres: Technical
ratings_count: 7
series: Cambridge Series in Statistical and Probabilistic Mathematics
publisher: Cambridge University Press