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Sampling Statistics

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ISBN-10: 0470454601

ISBN-13: 9780470454602

Edition: 2009

Authors: Wayne A. Fuller, Fuller

List price: $106.00
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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