Elementary Survey Sampling, 7th Edition
by:
Richard L. Scheaffer  University of Florida, Emeritus  William Mendenhall, III  University of Florida, Emeritus  R. Lyman Ott  Marion Merrell Dow, Inc., Retired  Kenneth G. Gerow  University of Wyoming
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Publisher:
Brooks/Cole,18.03.11
Category:
ENGINEERING Level: B/I/A
ISBN: 0840053614 ISBN13: 9780840053619

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ELEMENTARY SURVEY SAMPLING introduces students to the design and analysis of sample surveys via a practical, engaging approach. First, this introductory text begins with brief chapters focused on the important role that sample surveys play in the modern world. Then, each successive chapter builds on this foundation. These chapters start with the problem, describe the methodology needed for solving the problem, and provide the details of the estimation procedure using a compact presentation of the necessary formulas. Each chapter then works out the practical example in full detail. Finally, at the end of each chapter, ELEMENTARY SURVEY SAMPLING includes a wealth of exercises that enable students to continue practicing and to stretch their grasp of the content. The text includes a complete package of interactive statistical tools for implementing all the calculations; text examples are built in to the tools. 1. INTRODUCTION. 2. ELEMENTS OF THE SAMPLING PROBLEM. Introduction. Technical Terms. How to Select the Sample: The Design of the Sample Survey. Sources of Errors in Surveys. Designing a Questionnaire. Planning a Survey. Summary. 3. SOME BASIC CONCEPTS OF STATISTICS. Introduction. Summarizing Information in Populations and Samples: The Infinite Population Case. Summarizing Information in Populations and Samples: The Finite Population Case. Sampling Distributions. Covariance and Correlation. Estimation. Summary. 4. SIMPLE RANDOM SAMPLING. Introduction. How to Draw a Simple Random Sample. Estimation of a Population Mean and Total. Selecting the Sample Size for Estimating Population Means and Totals. Estimation of a Population Proportion. Comparing Estimates. Summary. 5. STRATIFIED RANDOM SAMPLING. Introduction. How to Draw a Stratified Random Sample. Estimation of a Population Mean and Total. Selecting the Sample Size for Estimating Population Means and Totals. Allocation of the Sample. Estimation of a Population Proportion. Selecting the Sample Size and Allocating the Sample to Estimate Proportions. Additional Comments on Stratified Sampling. An Optimal Rule for Choosing Strata. Stratification after Selection of the Sample. Double Sampling for Stratification. Summary. 6. RATIO, REGRESSION, AND DIFFERENCE ESTIMATION. Introduction. Surveys that Require the Use of Ratio Estimators. Ratio Estimation Using Simple Random Sampling. Selecting the Sample Size. Ratio Estimation in Stratified Random Sampling. Regression Estimation. Difference Estimation. Relative Efficiency of Estimators. Summary. 7. SYSTEMATIC SAMPLING. Introduction. How to Draw a Systematic Sample. Estimation of a Population Mean and Total. Estimation of a Population Proportion. Selecting the Sample Size. Repeated Systematic Sampling. Further Discussion of Variance Estimators. Summary. 8. CLUSTER SAMPLING. Introduction. How to Draw a Cluster Sample. Estimation of a Population Mean and Total. Equal Cluster Sizes; Comparison to Simple Random Sampling. Selecting the Sample Size for Estimating Population Means and Totals. Estimation of a Population Proportion. Selecting the Sample Size for Estimating Proportions. Cluster Sampling Combined with Stratification. Cluster Sampling with Probabilities Proportional to Size. Summary. 9. TWOSTAGE CLUSTER SAMPLING. Introduction. How to Draw a TwoStage Cluster Sample. Unbiased Estimation of a Population Mean and Total. Ratio Estimation of a Population Mean. Estimation of a Population Proportion. Sampling EqualSized Clusters. TwoStage Cluster Sampling with Probabilities Proportional to Size. Summary. 10. ESTIMATING THE POPULATION SIZE. Introduction. Estimation of a Population Size Using Direct Sampling. Estimation of a Population Size Using Inverse Sampling. Choosing Sample Sizes for Direct and Inverse Sampling. Estimating Population Density and Size from Quadrat Samples. Estimating Population Density and Size from Stocked Quadrats. Adaptive Sampling. Summary. 11. SUPPLEMENTAL TOPICS. Introduction. Interpenetrating Subsamples. Estimation of Means and Totals over Subpopulations. RandomResponse Model. Use of Weights in Sample Surveys. Adjusting for Nonresponse. Imputation. Selecting the Number of Callbacks. The Bootstrap. Summary. 12. SUMMARY. Summary of the Designs and Methods. Comparisons among the Designs and Methods. Appenidices. References and Bibliography Tables. Derivation of Some Main Results. Macros for MINITAB. Macros for SAS. Data Sets. Selected Answers. Index.
