Bootstrap Methods and Their Application (Paperback)

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.

這本書以廣泛且最新的內容介紹了自助法（bootstrap methods），並提供了許多應用實例，以一致的方式發展出必要的理論基礎。應用範圍包括分層數據、有限母體、被審查和缺失數據、線性、非線性和平滑回歸模型、分類、時間序列和空間問題。本書的特點包括：對顯著性檢驗和置信區間的廣泛討論；各種診斷方法的材料；以及高效計算方法，包括改進的蒙特卡羅模擬。每章都包含實際和理論練習題。附帶的光碟中包含了專門為實施書中所描述方法而編寫的S-Plus程式。計算機算法清晰地描述，並且計算機代碼包含在一個3英寸、1.4M的光碟中，可用於IBM計算機和兼容機器。使用者必須擁有S-Plus計算機應用程式。