Design and Inference in Finite Population Sampling

Covers a new but essential development in the field of population sampling, namely inference in finite sampling. Offers some important topics not found in other texts on sampling such as the superpopulation approach and randomized response, nonresponse and resampling techniques. A Unified Setup for Probability Sampling.

Inference in Finite Population Sampling.

The Horvitz-Thompson Estimator.

Simple Random and Allied Sampling Designs.

Uses of Auxiliary Size Measures in Survey Sampling: StrategiesBased on Probability Proportional to Size Schemes ofSampling.

Uses of Auxiliary Size Measures in Survey Sampling: Ratio andRegression Methods of Estimation.

Cluster Sampling Designs.

Systematic Sampling Designs.

Stratified Sampling Designs.

Superpopulation Approach to Inference in Finite PopulationSampling.

Randomized Response: A Data-Gathering Tool for SensitiveCharacteristics.

Special Topics: Small Area Estimation, Nonresponse Problems, andResampling Techniques.

Author Index.

Subject Index.

A. S. Hedayat and Bikas K. Sinha are the authors of Design and Inference in Finite Population Sampling, published by Wiley.