Survey Sampling: Theory and Methods, Second EditionSince publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade to provide an outst |
Contents
A Unified Theory | 1 |
Chapter 2 Strategies Depending on Auxiliary Variables | 11 |
Chapter 3 Choosing Good Sampling Strategies | 33 |
Chapter 4 Predictors | 77 |
Chapter 5 Asymptotic Aspects in Survey Sampling | 101 |
Chapter 6 Applications of Asymptotics | 111 |
Chapter 7 Design and ModelBased Variance Estimation | 133 |
Chapter 8 Multistage Multiphase and Repetitive Sampling | 175 |
Chapter 11 Analytic Studies of Survey Data | 249 |
Chapter 12 Randomized Response | 275 |
Chapter 13 Incomplete Data | 297 |
Epilogue | 327 |
Appendix | 343 |
373 | |
377 | |
Back cover | 381 |
Chapter 9 Resampling and Variance Estimation in Complex Surveys | 201 |
Chapter 10 Sampling from Inadequate Frames | 229 |
Other editions - View all
Survey Sampling: Theory and Methods, Second Edition Arijit Chaudhuri,Horst Stenger No preview available - 2005 |
Survey Sampling: Theory and Methods, Second Edition Arijit Chaudhuri,Horst Stenger No preview available - 2020 |
Common terms and phrases
alternative Analysis Applied approach approximately assume asymptotic balanced bootstrap called CHAUDHURI choose chosen close cluster conditional consider consistent corresponding defined denote derive discussed distribution domain draw drawn edited employed equal example finite population fixed function further given groups hence independent inference interest intervals JASA known linear mean measures method minimax noted observed optimal parameters possible postulated practice predictor probability problem procedure properties proportional random ratio reference regression repeated replacement respect response robust sample mean scheme selection simple sizes SRSWOR Statistical strategy studies suitable Suppose survey survey sampling taken technique theory tion unbiased estimator units unknown values variable variance estimators vector weights writing
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