Estimation in Surveys with Nonresponse
Around the world a multitude of surveys are conducted every day, on a variety of subjects, and consequently surveys have become an accepted part of modern life. However, in recent years survey estimates have been increasingly affected by rising trends in nonresponse, with loss of accuracy as an undesirable result. Whilst it is possible to reduce nonresponse to some degree, it cannot be completely eliminated. Estimation techniques that account systematically for nonresponse and at the same time succeed in delivering acceptable accuracy are much needed.
Estimation in Surveys with Nonresponse provides an overview of these techniques, presenting the view of nonresponse as a normal (albeit undesirable) feature of a sample survey, one whose potentially harmful effects are to be minimised.
The accessible style of Estimation in Surveys with Nonresponse will make this an invaluable tool for survey methodologists in national statistics agencies and private survey agencies. Researchers, teachers, and students of statistics, social sciences and economics will benefit from the clear presentation and numerous examples.
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Chapter 1 Introduction
Chapter 2 The Survey and Its Imperfections
Chapter 3 General Principles to Assist Estimation
Chapter 4 The Use of Auxiliary Information under Ideal Conditions
Chapter 5 Introduction to Estimation in the Presence of Nonresponse
Chapter 6 Weighting of Data in the Presence of Nonresponse
Chapter 7 Examples of Calibration Estimators
Chapter 8 The Combined Use of Sample Information and Population Information
Chapter 9 Analysing the Bias due to Nonresponse