Sampling Techniques
Wiley Series in Probability and Statistics
3. Edition September 1977
448 Pages, Softcover
Wiley & Sons Ltd
ISBN:
978-0-471-16240-7
John Wiley & Sons
Clearly demonstrates a wide range of sampling methods now in use by governments, in business, market and operations research, social science, medicine, public health, agriculture, and accounting. Gives proofs of all the theoretical results used in modern sampling practice. New topics in this edition include the approximate methods developed for the problem of attaching standard errors or confidence limits to nonlinear estimates made from the results of surveys with complex plans.
1 Chapter Introduction 1
2 Chapter Simple Random Sampling 18
3 Chapter Sampling Proportions and Percentages 50
4 Chapter The Estimation of sample Size 72
5 Chapter Further Aspects of Stratified Sampling 115
6 Chapter Ratio Estimators 150
7 Chapter Regression Estimators 189
8 Chapter Systematic Sampling 205
9 Chapter Single-Stage Cluster Sampling: Clusters of Equal Sizes 233
9. A Chapter Single-Stage Cluster Sampling: Clusters of Unequal Sizes 249
10 Subsampling With Units of Equal Size 274
11 Chapter Subsampling With Units of Unequal Sizes 292
12 Chapter Double sampling 327
13 Chapter Sources of Error in Surveys 359
References 400
Answers to Exercises 412
Author Index 419
Subject Index 422
2 Chapter Simple Random Sampling 18
3 Chapter Sampling Proportions and Percentages 50
4 Chapter The Estimation of sample Size 72
5 Chapter Further Aspects of Stratified Sampling 115
6 Chapter Ratio Estimators 150
7 Chapter Regression Estimators 189
8 Chapter Systematic Sampling 205
9 Chapter Single-Stage Cluster Sampling: Clusters of Equal Sizes 233
9. A Chapter Single-Stage Cluster Sampling: Clusters of Unequal Sizes 249
10 Subsampling With Units of Equal Size 274
11 Chapter Subsampling With Units of Unequal Sizes 292
12 Chapter Double sampling 327
13 Chapter Sources of Error in Surveys 359
References 400
Answers to Exercises 412
Author Index 419
Subject Index 422
William G Cochran was a prominent statistician. He was born in Scotland but spent most of his life in the United States. Cochran studied mathematics at the University of Glasgow and the University of Cambridge. He worked at Rothamsted Experimental Station from 1934 to 1939, when he moved to the United States.
