Survey Sampling

Features
1.Bridges the gap between classroom and practice in two significant ways: First, select sections on weights in unequal probability sampling. Then, they expanded the treatment of nonresponse in Chapter 11, including the use of imputation as a technique for handling some types of nonresponse.

2.Emphasizes two cutting-edge sampling techniques: the bootstrap, a modern technique for establishing margins of error and confidence intervals in complex designs, and an adaptive sampling technique for improving estimates while the field work is in progress.
3.Utilizes detailed simulations: Key statistical concepts are demonstrated using step-by-step simulations.

New To This Edition
1.Integrates new software: By using software that significantly decreases the need for long arithmetic, the authors have allowed students to focus less on arithmetic, and instead on the valid use of appropriate statistical tools.

2.New Icons: Excel Tools icons have been added to the boxed equations and example solutions, so as to direct students to use Excel when appropriate.

3.More concise data: The data for examples and exercises is now more concise and is also incorporated with the electronic supplements.

4.Updated Appendices: the Appendices for this edition have been updated to be more concise and user-friendly.

Richard L. Scheaffer

現職：University of Florida, Emeritus

William Mendenhall, III

現職：University of Florida, Emeritus

R. Lyman Ott

現職：Marion Merrell Dow, Inc. Retired

Kenneth G. Gerow

現職：University of Wyoming

Ch 1 Introduction
Ch 2 Elements of the Sampling Problem
Ch 3 Some Basic Concepts of Statistics
Ch 4 Simple Random Sampling
Ch 5 Stratified Random Sampling
Ch 6 Ratio, Regression, and Difference Estimation
Ch 7 Systematic Sampling
Ch 8 Cluster Sampling
Ch 9 Two-Stage Cluster Sampling
Ch10 Estimating the Population Size
Ch11 Supplemental Topics
Ch12 Summary