## 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 outstanding research reference. Starting with the unified theory, the authors explain in the clearest of terms the subsequent developments. In fact, even the most modern innovations of survey sampling, both methodological and theoretical, have found a place in this concise volume. See what's new in the Second Edition: Covering the current state of development of essential aspects of theory and methods of survey sampling, the authors have taken great care to avoid being dogmatic and eschew taking sides in their presentation. They have created tool for graduate and advanced level students and a reference for researchers and practitioners that goes beyond the coverage found in most textbooks. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### 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 | |

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 |

### Common terms and phrases

Analysis approach approximately assume asymptotic Bayes estimators bias bootstrap bootstrap sample BREWER called CHAUDHURI chosen cluster cluster sampling conditional confidence intervals consider defined denote derive design-based distribution domain edited esti finite population function GODAMBE groups hence imputation inclusion probabilities independent inference JASA JRSS known linear m-unbiased mator mean square error method minimax model-based nonresponse optimal parameters postulated predictor procedure random variables ratio estimator regression estimator replacement respect response robust S¨ARNDAL sample mean sample surveys sampling design sampling scheme selection probabilities simple random sampling small area estimation SRSWOR Statistical STENGER strategy stratified sampling suitable superpopulation Suppose survey data survey sampling systematic sampling technique theory tion unbiased estimator unknown values variance estimators vector Vp(t writing

### Popular passages

Page ii - DB Owen Founding Editor, 1972-1991 Associate Editors Statistical Computing/ Nonparametric Statistics Professor William R. Schucany Southern Methodist University Probability Professor Marcel F. Neuts University of Arizona Multivariate Analysis Professor Anant M. Kshirsagar University of Michigan Quality Control/Reliability Professor Edward G. Schilling Rochester Institute of Technology Editorial Board Applied Probability Dr.

Page ix - Borowiak 168. Nonparametric Statistical Inference: Fourth Edition, Revised and Expanded, Jean Dickinson Gibbons and Subhabrata Chakraborti 169.

Page vii - Chaudhuri and Horst Stenger 131. Nonparametric Statistical Inference: Third Edition, Revised and Expanded, Jean Dickinson Gibbons and Subhabrata Chakraborti 132. Bivariate Discrete Distribution, Subrahmaniam Kocherlakota and Kathleen Kocherlakota 133. Design and Analysis of Bioavailability and Bioequivalence Studies, Shein-Chung Chow and Jen-pel Liu 134.

Page vi - Applications, PC Consul 100. Nonlinear Lp-Norm Estimation, Rene Gonin and Arthur H. Money 101. Model Discrimination for Nonlinear Regression Models, Dale S. Borowiak 102. Applied Regression Analysis in Econometrics, Howard E. Doran 103. Continued Fractions in Statistical Applications, KO Bowman and LR Shenton 104. Statistical Methodology in the Pharmaceutical Sciences, Donald A. Berry 105. Experimental Design in Biotechnology, Perry D. Haaland 106. Statistical Issues in Drug Research and Development,...

Page vii - Liu 134. Multiple Comparisons, Selection, and Applications in Biometry, edited by Fred M. Hoppe 135. Cross-Over Experiments: Design, Analysis, and Application, David A. Ratkowsky, Marc A. Evans, and J. Richard Alldredge 136.

Page v - Experiments, Roger G. Petersen 67. Statistical Methods for Pharmaceutical Research Planning, Sten W. Bergman and John C. Gittins 68. Goodness-of-Fit Techniques, edited by Ralph B. D'Agostino and Michael A. Stephens 69. Statistical Methods in Discrimination Litigation, edited by DH Kaye and Mikel Aickin 70. Truncated and Censored Samples from Normal Populations, Helmut Schneider 71. Robust Inference, M.

Page vii - Engineering Quality by Design: Interpreting the Taguchi Approach, Thomas B. Barker 114. Survivorship Analysis for Clinical Studies, Eugene K. Harris and Adelin Albert 115. Statistical Analysis of Reliability and Life-Testing Models: Second Edition, Lee J. Bain and Max Engelhardt 116.

Page vii - Models of Carcinogenesis, Wai-Yuan Tan 117. Statistics and Society: Data Collection and Interpretation: Second Edition, Revised and Expanded, Walter T. Federer 118. Handbook of Sequential Analysis, BK Ghosh and PK Sen 119.

Page vi - A. Clifford Cohen and Betty Jones Whitten 97. Pooled Cross-Sectional and Time Series Data Analysis, Terry E. Dielman 98. Random Processes: A First Look, Second Edition, Revised and Expanded, R. Syski 99. Generalized Poisson Distributions: Properties and Applications, PC Consul 100. Nonlinear Lp-Norm Estimation, Rene Gonin and Arthur H. Money 101. Model Discrimination for Nonlinear Regression Models, Dale S. Borowiak 102. Applied Regression Analysis in Econometrics, Howard E. Doran 103. Continued...

Page v - Balakrishnan 72. Statistical Image Processing and Graphics, edited by Edward J. Wegman and Douglas J. DePriest 73. Assignment Methods in Combinatorial Data Analysis, Lawrence J. Hubert 74. Econometrics and Structural Change, Lyle D. Broemeling and Hiroki Tsurumi 75. Multivariate Interpretation of Clinical Laboratory Data, Adelin Albert and Eugene K. Harris 76. Statistical Tools for Simulation Practitioners, Jack PC Kleijnen 77.