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Sampling: Design and Analysis

Sampling: Design and Analysis

          
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About the Book

This approach to survey sampling should be equally effective for the student who is learning the subject and for the practitioner as a reference. The author focuses on using sampling techniques and ideas to solve real problems. She gives the reader guidance on how to tell when a sample is valid or not, and how to design and analyze many different forms of sample surveys. Chapters 1-6 cover the basic sampling designs of simple random sampling, stratification, and cluster sampling with equal and unequal probabilities of selection. Chapters 7-12 discuss issues such as: how to analyze complex surveys such as those administered by the Census Bureau; different approaches to analyzing sample surveys; what to do if there is non-response; and how to perform chi-squared tests and regression analysis using data from complicated surveys.

Table of Contents:
1. INTRODUCTION A Sample Controversy / Requirements of a Good Sample / Selection Bias / Measurement Bias / Questionnaire Design / Sampling and Nonsampling Errors / Exercises 2. SIMPLE PROBABILITY SAMPLES Types of Probability Samples / Framework for Probability Sampling / Simple Random Sampling / Confidence Intervals / Sample Size Estimation / Systematic Sampling / Randomization Theory Results for Simple Random Sampling / A Model for Simple Random Sampling / When Should a Simple Random Sample Be Used? / Exercises 3. RATIO AND REGRESSION ESTIMATION Ratio Estimation / Regression Estimation / Estimation in Domains / Models for Ration and Regression Estimation / Comparison / Exercises 4. STRATIFIED SAMPLING What is Stratified Sampling? / Theory of Stratified Sampling / Sampling Weights / Allocating Observations to Strata / Defining Strata / A Model for Stratified Sampling / Poststratification / Quota Sampling / Exercises 5. CLUSTER SAMPLING WITH EQUAL PROBABILITIES Notation for Cluster Sampling / One-Stage Cluster Sampling / Two-Stage Cluster Sampling / Using Weights in Cluster Samples / Designing a Cluster Sample / Systematic Sampling / Models for Cluster Sampling / Summary Exercises 6. SAMPLING WITH UNEQUAL PROBABILITIES Sampling One Primary Sampling Unit / One-Stage Sampling with Replacement / Two-Stage Sampling with Replacement / Unequal-Probability Sampling Without Replacement / Examples of Unequal-Probability Samples / Randomization Theory Results and Proofs / Models and Unequal-Probability Sampling 7. COMPLEX SURVEYS Assembling Design Components / Sampling Weights / Estimating a Distribution Function / Plotting Data from a Complex Survey / Design Effects / The National Crime Victimization Survey / Sampling and Experiment Design / Exercises 8. NONRESPONSE Effects of Ignoring Nonresponse / Designing Surveys to Reduce Nonsampling Errors / Callbacks and Two-Phase Sampling / Mechanisms for Nonresponse / Weighting Methods for Nonresponse / Imputation / Parametric Models for Nonresponse / What is An Acceptable Response Rate? / Exercises 9. VARIANCE ESTIMATION IN COMPLEX SURVEYS Linearization (Taylor Series) Methods / Random Group Methods / Resampling and Replication Methods / Generalized Variance Functions / Confidence Intervals / Summary and Software / Exercises 10. CATEGORICAL DATA ANALYSIS IN COMPLEX SURVEYS Chi-square Tests with Multinomial Sampling / Effects of Survey Design on Chi-Square Tests / Corrections to Chi-Square Tests / Loglinear Models / Exercises 11. REGRESSION WITH COMPLEX SURVEY DATA Model-based Regression in Simple Random Samples / Regression in Complex Surveys / Should Weights be Used in Regression? / Mixed Models for Cluster Samples / Logistic Regression / Generalized Regression Estimation for Population Totals / Exercises 12. OTHER TOPICS IN SAMPLING Two-Phase Sampling / Capture-Recapture Estimation / Estimation in Domains, Revisited / Sampling for Rare Events / Randomized Response / APPENDIX A: THE SURVEY PROGRAM / APPENDIX B: PROBABILITY CONCEPTS USED IN SAMPLING / Probability / Random Variables and Expected Value / Conditional Probability / Conditional Expectation / APPENDIX C: DATA SETS / APPENDIX D: COMPUTER CODES USED FOR EXAMPLES / APPENDIX E: STATISTICAL TABLE / REFERENCES / AUTHOR INDEX / SUBJECT INDEX


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Product Details
  • ISBN-13: 9780534353612
  • Publisher: Cengage Learning, Inc
  • Publisher Imprint: Brooks/Cole
  • Height: 234 mm
  • No of Pages: 77
  • Spine Width: 25 mm
  • Weight: 953 gr
  • ISBN-10: 0534353614
  • Publisher Date: 15 Dec 1998
  • Binding: SA
  • Language: English
  • Returnable: N
  • Sub Title: Design and Analysis
  • Width: 188 mm


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