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Estimation in Surveys with Nonresponse

Carl-Erik Särndal | Sixten Lundström
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A01=Carl-Erik Särndal
A01=Sixten Lundström
accepted
accuracy
Author_Carl-Erik Särndal
Author_Sixten Lundström
Category=GPS
Category=PBT
consequently surveys
day
degree
eq_isMigrated=1
eq_nobargain
estimates
every
increasingly
life
loss
modern
multitude
nonresponse
part
possible
reduce nonresponse
result
subjects
surveys
trends
undesirable
variety
years survey

Product details

  • ISBN 9780470011331
  • Weight: 425g
  • Dimensions: 162 x 231mm
  • Publication Date: 10 Jun 2005
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description
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.

  • Builds in the nonresponse feature of survey data collection as an integral part of the theory, both for point estimation and for variance estimation.
  • Promotes weighting through calibration as a new and powerful technique for surveys with nonresponse.
  • Highlights the analysis of nonresponse bias in estimates and methods to minimize this bias.
  • Includes computational tools to help identify the best variables for calibration.
  • Discusses the use of imputation as a complement to weighting by calibration.
  • Contains guidelines for dealing with frame imperfections and coverage errors.
  • Features worked examples throughout the text, using real data.

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.
About Carl-Erik Särndal | Sixten Lundström
Carl-Erik Särndal, Ph.D., is Consultant to National Statistical Agencies and was formerly Professor, Université de Montréal. He is the author, or a co-author, of many articles on survey sampling theory and applications.

Sixten Lundström, Ph.D., is Senior Methodological Adviser, Department of Population and Welfare Statistics, Statistics Sweden. He has extensive experience of survey practice, especially in the production of official statistics.

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