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Sample Design for Survey's Quality Evaluation. Edition No. 1

  • ID: 1904554
  • September 2008
  • 92 Pages
  • VDM Publishing House
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Sample designers and data collectors have always been
working for assuring high quality standards of survey
data. Although much has been written about
statistical quality assurance methods, notably in the
industry setting, few resources in the literature
address the problem of assessing survey’s quality.
Sample Design for Survey’s Quality Evaluation
approaches such a relevant topic focusing on the
design of probabilistic samples for data collection
quality monitoring and measurement error evaluation
of longitudinal surveys. In both cases, the
theoretical developments are motivated by potential
applications to the U.S. National Resources
Inventory. Nevertheless, the employed process of
investigation as well as the results presented in the
book can be applied to several other survey
scenarios. The properties of several classes of
sample designs for data quality monitoring are
investigated and the problem of designing a
subsample to estimate the measurement error
contribution to the variance of the Horvitz-Thompson
estimator is studied. The covered subjects make this
book an essential source for any professional
involved in quality evaluation studies of sample

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Cristiano Ferraz.
received his PhD in Statistics from Iowa State
University, Ames. He is currently the coordinator for
undergraduate studies in Statistics and a faculty member of the
graduate program in Statistics at the Federal University of
Pernambuco, Brazil. Dr Ferraz’s areas of work are design and
analysis of sample surveys and experiments.

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Note: Product cover images may vary from those shown



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