Survey Sampling

Survey Sampling: Theory and Methods, Second Edition

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ISBN 9780824757540
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Features

  • Communicates the development of essential aspects of theory and methods
  • Provides an up-to-date treatment of both classical and modern sampling design and estimation methods along with sampling methods for hard-to-detect populations
  • Covers all aspects of obtaining, interpreting, and using sample data
  • Aids researchers in pursuing further studies in areas of specific interest by bringing together widely scattered materials
  • Includes many techniques not covered adequately in most books
  • Summary

    Since 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:

  • Descriptions of new developments
  • A wider range of approaches to common problems
  • Increased coverage of methods that combine design and model-based approaches, adjusting for sample errors

    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.
  • Table of Contents

    Foreword
    Preface to the Second Edition
    Preface to the First Edition

    ESTIMATION IN FINITE POPULATIONS: A UNIFIED THEORY
    Introduction
    Elementary Definitions
    Design-Based Inference
    Sampling Schemes
    Controlled Sampling

    STRATEGIES DEPENDING ON AUXILIARY VARIABLES
    Representative Strategies
    Examples of Representative Strategies
    Estimation of the Mean Square Error
    Estimation of Mp(t ) for Specific Strategies
    Calibration

    CHOOSING GOOD SAMPLING STRATEGIES
    Fixed Population Approach
    Superpopulation Approach
    Estimating Equation Approach
    Minimax Approach

    PREDICTORS
    Model-Dependent Estimation
    Prior Distribution-Based Approach

    ASYMPTOTIC ASPECTS IN SURVEY SAMPLING
    Increasing Populations
    Consistency, Asymptotic Unbiasedness
    Brewer's Asymptotic Approach
    Moment-Type Estimators
    Asymptotic Normality and Confidence Intervals

    APPLICATIONS OF ASYMPTOTICS
    A Model-Assisted Approach
    Asymptotic Minimaxity

    DESIGN- AND MODEL-BASED VARIANCE ESTIMATION
    Ratio Estimator
    Regression Estimator
    HT Estimator
    GREG Predictor
    Systematic Sampling

    MULTISTAGE, MULTIPHASE, AND REPETITIVE SAMPLING
    Variance Estimators Due to Raj and Rao in Multistage Sampling: More Recent Developments
    Double Sampling with Equal and Varying Probabilities: Design-Unbiased and Regression Estimators
    Sampling on Successive Occasions with Varying Probabilities

    RESAMPLING AND VARIANCE ESTIMATION IN COMPLEX SURVEYS
    Linearization
    Jackknife
    Interpenetrating Network of Subsampling and Replicated Sampling
    Balanced Repeated Replication
    Bootstrap

    SAMPLING FROM INADEQUATE FRAMES
    Domain Estimation
    Poststratification
    Estimation from Multiple Frames
    Small Area Estimation
    Conditional Inference

    ANALYTIC STUDIES OF SURVEY DATA
    Design Effects on Categorical Data Analysis
    Regression Analysis from Complex Survey Data

    RANDOMIZED RESPONSE
    SRSWR for Qualitative and Quantitative Data
    A General Approach

    INCOMPLETE DATA
    Nonsampling Errors
    Nonresponse
    Callbacks
    Weight Adjustments
    Use of Superpopulation Models
    Adaptive Sampling and Network Sampling
    Imputation

    EPILOGUE
    Appendix
    References
    List of Abbreviations, Special Notations,
    and Symbols
    Author Index
    Subject Index