Elementary Survey Sampling,9780534243425

Elementary Survey Sampling

by ; ;
ISBN13: 9780534243425
ISBN10: 0534243428
Format: Hardcover
Pub. Date: 1995-09-15
Publisher(s): Duxbury Press
List Price: $200.00

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Summary

Focusing on the practical aspects of survey sampling, this introduction is intended for a one-term service course in survey sampling for students in the social sciences, business, and natural resources management (college algebra prerequisite). Appealing to the student with a limited background in math.

Table of Contents

CHAPTER 1 INTRODUCTION
1(6)
CHAPTER 2 A REVIEW OF SOME BASIC CONCEPTS
7(34)
2.1 Introduction
7(1)
2.2 Describing data with graphs and tables
8(13)
2.3 Summarizing information in populations and samples
21(3)
2.4 Sampling distributions
24(4)
2.5 Covariance and correlation
28(2)
2.6 Estimation
30(1)
2.7 Summary
31(1)
Exercises
32(9)
CHAPTER 3 ELEMENTS OF THE SAMPLING PROBLEM
41(38)
3.1 Introduction
41(1)
3.2 Technical terms
42(2)
3.3 How to select the sample: The design of the sample survey
44(7)
3.4 Sources of errors in surveys
51(11)
3.5 Designing a questionnaire
62(6)
3.6 Planning a survey
68(2)
3.7 Summary
70(1)
Exercises
70(6)
Experiences with real data
76(3)
CHAPTER 4 SIMPLE RANDOM SAMPLING
79(46)
4.1 Introduction
79(2)
4.2 How to draw a simple random sample
81(2)
4.3 Estimation of a population mean and total
83(9)
4.4 Selecting the sample size for estimating population means and totals
92(3)
4.5 Estimation of a population proportion
95(5)
4.6 Comparing estimates
100(6)
4.7 Summary
106(3)
Exercises
109(12)
Experiences with real data
121(4)
CHAPTER 5 STRATIFIED RANDOM SAMPLING
125(72)
5.1 Introduction
125(2)
5.2 How to draw a stratified random sample
127(2)
5.3 Estimation of a population mean and total
129(7)
5.4 Selecting the sample size for estimating population means and totals
136(4)
5.5 Allocation of the sample
140(9)
5.6 Estimation of a population proportion
149(3)
5.7 Selecting the sample size and allocating the sample to estimate proportions
152(9)
5.8 Additional comments on stratified sampling
161(4)
5.9 An optimal rule for choosing strata
165(1)
5.10 Stratification after selection of the sample
166(3)
5.11 Double sampling for stratification
169(3)
5.12 Summary
172(3)
Exercises
175(9)
Experiences with real data
184(13)
CHAPTER 6 RATIO, REGRESSION, AND DIFFERENCE ESTIMATION
197(54)
6.1 Introduction
197(1)
6.2 Surveys that require the use of ratio estimators
198(2)
6.3 Ratio estimation using simple random sampling
200(9)
6.4 Selecting the sample size
209(9)
6.5 Ratio estimation in stratified random sampling
218(4)
6.6 Regression estimation
222(4)
6.7 Difference estimation
226(2)
6.8 Relative efficiency of estimators
228(7)
6.9 Summary
235(2)
Exercises
237(10)
Experiences with real data
247(4)
CHAPTER 7 SYSTEMATIC SAMPLING
251(38)
7.1 Introduction
251(3)
7.2 How to draw a systematic sample
254(1)
7.3 Estimation of a population mean and total
255(7)
7.4 Estimation of a population proportion
262(2)
7.5 Selecting the sample size
264(2)
7.6 Repeated systematic sampling
266(4)
7.7 Further discussion of variance estimators
270(8)
7.8 Summary
278(2)
Exercises
280(6)
Experience with real data
286(3)
CHAPTER 8 CLUSTER SAMPLING
289(46)
8.1 Introduction
289(2)
8.2 How to draw a cluster sample
291(2)
8.3 Estimation of a population mean and total
293(6)
8.4 Equal cluster sizes; comparison to simple random sampling
299(4)
8.5 Selecting the sample size for estimating population means and totals
303(4)
8.6 Estimation of a population proportion
307(4)
8.7 Selecting the sample size for estimating proportions
311(1)
8.8 Cluster sampling combined with stratification
312(2)
8.9 Cluster sampling with probabilities proportional to size
314(6)
8.10 Summary
320(2)
Exercises
322(10)
Experiences with real data
332(3)
CHAPTER 9 TWO-STAGE CLUSTER SAMPLING
335(28)
9.1 Introduction
335(2)
9.2 How to draw a two-stage cluster sample
337(1)
9.3 Unbiased estimation of a population mean and total
337(5)
9.4 Ratio estimation of a population mean
342(3)
9.5 Estimation of a population proportion
345(3)
9.6 Sampling equal-sized clusters
348(4)
9.7 Two-stage cluster sampling with probabilities proportional to size
352(3)
9.8 Summary
355(1)
Exercises
356(4)
Experiences with real data
360(3)
CHAPTER 10 ESTIMATING THE POPULATION SIZE
363(24)
10.1 Introduction
363(1)
10.2 Estimation of a population size using direct sampling
364(2)
10.3 Estimation of a population size using inverse sampling
366(1)
10.4 Choosing sample sizes for direct and inverse sampling
367(4)
10.5 Estimating population density and size from quadrat samples
371(4)
10.6 Estimating population density and size from stocked quadrats
375(2)
10.7 Summary
377(3)
Exercises
380(2)
Experiences with real data
382(5)
CHAPTER 11 SUPPLEMENTAL TOPICS
387(18)
11.1 Introduction
387(1)
11.2 Interpenetrating subsamples
388(2)
11.3 Estimation of means and totals over subpopulations
390(5)
11.4 Random-response model
395(4)
11.5 Selecting the number of callbacks
399(2)
11.6 Summary
401(1)
Exercises
402(2)
Experiences with real data
404(1)
CHAPTER 12 SUMMARY
405(18)
12.1 Summary of the designs and methods
405(2)
12.2 Comparisons among the designs and methods
407(2)
Exercises
409(14)
APPENDIX 1 423(12)
References and Bibliography 423(2)
Tables 425(3)
Derivation of some main results 428(7)
APPENDIX 2 435(12)
Macros for MINITAB 435(12)
APPENDIX 3 447(26)
Macros for SAS 447(26)
APPENDIX 4 473(20)
Data sets 473(20)
SELECTED ANSWERS 493(4)
INDEX 497

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