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Elementary Survey Sampling

ISBN-10: 0840053614
ISBN-13: 9780840053619
Edition: 7th 2012
List price: $381.95 Buy it from $151.97
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Book details

List price: $381.95
Edition: 7th
Copyright year: 2012
Publisher: Brooks/Cole
Publication date: 2/18/2011
Binding: Hardcover
Pages: 480
Size: 7.25" wide x 9.00" long x 1.00" tall
Weight: 3.080
Language: English

Richard L. Scheaffer, Professor Emeritus of Statistics, University of Florida, received his Ph.D. in statistics from Florida State University. Accompanying a career of teaching, research and administration, Dr. Scheaffer has led efforts on the improvement of statistics education throughout the school and college curriculum. Co-author of five textbooks, he was one of the developers of the Quantitative Literacy Project that formed the basis of the data analysis strand in the curriculum standards of the National Council of Teachers of Mathematics. He also led the task force that developed the AP Statistics Program, for which he served as Chief Faculty Consultant. Dr. Scheaffer is a Fellow and past president of the American Statistical Association, a past chair of the Conference Board of the Mathematical Sciences, and an advisor on numerous statistics education projects.

Introduction
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
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
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
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
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
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
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
Two-Stage Cluster Sampling
Introduction
How to Draw a Two-Stage Cluster Sample
Unbiased Estimation of a Population Mean and Total
Ratio Estimation of a Population Mean
Estimation of a Population Proportion
Sampling Equal-Sized Clusters
Two-Stage Cluster Sampling with Probabilities Proportional to Size
Summary
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
Supplemental Topics
Introduction
Interpenetrating Subsamples
Estimation of Means and Totals over Subpopulations
Random-Response Model
Use of Weights in Sample Surveys
Adjusting for Nonresponse
Imputation
Selecting the Number of Callbacks
The Bootstrap
Summary
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

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