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# Sampling Statistics

## Edition: 2009

### Authors: Wayne A. Fuller, Fuller

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### Description:

While the largest surveys are conducted by government agencies, many large surveys are conducted by private organizations including marketing firms and research institutions. Furthermore, massive numbers of statistics are produced from such surveys. In such a setting, the typical survey statistician prefers techniques with broad applicability that require a minimum of assumptions. Procedures are sought that are nearly design unbiased, but no claim of optimality is made for a particular statistic. These standard survey techniques are introduced in Chapter One. Basic sampling concepts are introduced in a way to facilitate the application of model-based procedures to survey samples. Likewise,…
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### Book details

List price: \$106.00
Copyright year: 2009
Publisher: John Wiley & Sons, Limited
Publication date: 9/4/2009
Binding: Hardcover
Pages: 472
Size: 6.50" wide x 9.75" long x 1.00" tall
Weight: 1.694
Language: English

 Preface List of Tables List of Principal Results List Of Examples Probability Sampling From A Finite Universe Introduction Probability Sampling Limit Properties Methods of Unequal Probability Sample Selection References Exercises Appendix 1A: Some Order Concepts Use Of Auxiliary Information In Estimation Ratio Estimation Regression Estimation Models and Regression Estimation Regression and Stratification Estimation with Conditional Probabilities Regression for Two-Stage Samples Calibration Weight Bounds Maximum Likelihood and Raking Ratio References Exercises Appendix 2A: Missouri Data Use Of Auxiliary Information In Design Introduction Multiple-Stage Samples Multiple-Phase Samples Rejective sampling References Exercises Replication Variance Estimation Introduction Jackknife Variance Estimation Balanced Half-Samples Two-Phase Samples The Bootstrap References Exercises Models Used In Conjunction With Sampling Nonresponse Imputation Variance Estimation Outliers and Skewed Populations Small Area Estimation Measurement Error References Exercises Analytic Studies Introduction Models and Simple Estimators Estimation of Regression Coefficients Instrumental variables Nonlinear models Cluster and multistage samples Pretest procedures References Exercises References Index