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| Introduction | |
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| A Review Of Some Basic Concepts | |
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| Introduction | |
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| Describing data with graphs and tables | |
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| Summarizing information in populations and samples | |
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| Sampling distributions | |
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| Covariance and correlation | |
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| Estimation | |
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| Summary | |
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| Exercises | |
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| Elements Of The Sampling Problem | |
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| Introduction | |
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| Technical terms | |
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| How to select the sample: the design of the sample survey | |
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| Sources of errors in surveys | |
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| Designing a questionnaire | |
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| Planning a survey | |
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| Summary | |
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| Exercises | |
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| Experiences with real data | |
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| Simple Random Sampling | |
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| Introduction | |
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| How to draw a simple random sample | |
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| Estimation of a population mean and total | |
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| Selecting the sample size for estimating population means and totals | |
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| Estimation of a population proportion | |
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| Comparing estimates | |
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| Summary | |
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| Exercises | |
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| Experiences with real data | |
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| Stratified Random Sampling | |
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| Introduction | |
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| How to draw a stratified random sample | |
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| Estimation of a population mean and total | |
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| Selecting the sample size for estimating population means and totals | |
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| Allocation of the sample | |
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| Estimation of a population proportion | |
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| Selecting the sample size and allocating the sample to estimate proportions | |
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| Additional comments on stratified sampling | |
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| An optimal rule for choosing strata | |
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| Stratification after selection of the sample | |
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| Double sampling for stratification | |
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| Summary | |
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| Exercises | |
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| Experiences with real data | |
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| Ratio, Regression, And Difference Estimation | |
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| Introduction | |
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| Surveys that require the use of ratio estimators | |
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| Ratio estimation using simple random sampling | |
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| Selecting the sample size | |
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| Ratio estimation in stratified random sampling | |
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| Regression estimation | |
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| Difference estimation | |
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| Relative efficiency of estimators | |
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| Summary | |
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| Exercises | |
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| Experiences with real data | |
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| Systematic Sampling | |
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| Introduction | |
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| How to draw a systematic sample | |
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| Estimation of a population mean and total | |
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| Estimation of a population proportion | |
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| Selecting the sample size | |
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| Repeated systematic sampling | |
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| Further discussion of variance estimators | |
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| Summary | |
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| Exercises | |
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| Experience with real data | |
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| Cluster Sampling | |
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| Introduction | |
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| How to draw a cluster sample | |
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| Estimation of a population mean and total | |
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| Equal cluster sizes; comparison to simple random sampling | |
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| Selecting the sample size for estimating population means and totals | |
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| Estimation of a population proportion | |
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| Selecting the sample size for estimating proportions | |
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| Cluster sampling combined with stratification | |
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| Cluster sampling with probabilities proportional to size | |
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| Summary | |
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| Exercises | |
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| Experiences with real data | |
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| Two-Stage Cluster Sampling | |
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| Introduction | |
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| How to draw a two-stage cluster sample | |
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| Unbiased estimation of a population mean and total | |
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| Ratio estimation of a population mean | |
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| Estimation of a population proportion | |
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| Sampling equal-sized clusters | |
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| Two-stage cluster sampling with probabilities proportional to size | |
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| Summary | |
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| Exercises | |
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| Experiences with real data | |
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| Estimating The Population Size | |
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| Introduction | |
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| Estimation of a population size using direct sampling | |
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| Estimation of a population size using inverse sampling | |
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| Choosing sample sizes for direct and inverse sampling | |
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| Estimating population density and size from quadrat samples | |
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| Estimating population density and size from stocked quadrats | |
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| Summary | |
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| Exercises | |
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| Experiences with real data | |
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| Supplemental Topics | |
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| Introduction | |
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| Interpenetrating subsamples | |
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| Estimation of means and totals over subpopulations | |
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| Random-response model | |
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| Selecting the number of callbacks | |
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| Summary | |
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| Exercises | |
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| Experiences with real data | |
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| Summary | |
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| Summary of the designs and methods | |
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| Comparisons among the designs and methods | |
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| Exercises | |