
Design and Inference in Finite Population Sampling
Wiley (Publisher)
1st Edition
Will be published approx. on 20. September 1991
Book
Hardback
400 pages
978-0-471-88073-8 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 26 mm
Weight
765 gr
ISBN-13
978-0-471-88073-8 (9780471880738)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
A. S. Hedayat and Bikas K. Sinha are the authors of Design and Inference in Finite Population Sampling, published by Wiley.
Author
University of Illinois, Chicago
Indian Statistical Institute, Calcutta, India
Content
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.
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.