Sampling Statistics

Name: Sampling Statistics
Price: 43.62 USD
Availability: InStock
ISBN: 9780470454602

ISBN-10: 0470454601

ISBN-13: 9780470454602

Edition: 2009

Authors: Wayne A. Fuller, Fuller

List price: $121.95

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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,…

Book details

List price: $121.95
Copyright year: 2009
Publisher: John Wiley & Sons, Limited
Publication date: 9/4/2009
Binding: Hardcover
Pages: 472
Size: 6.40" wide x 9.60" long x 1.20" 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