Specification of Qualitative and Quantitative Parameters Demanding Estimation

Arijit Chaudhuri and Tasos C. Christofides
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Arijit Chaudhuri: Applied Statistics Unit Indian Statistical Institute
Tasos C. Christofides: University of Cyprus, Department of Mathematics and Statistics

Chapter Chapter 2 in Indirect Questioning in Sample Surveys, 2013, pp 9-20 from Springer

Abstract: Abstract In this chapter the basic and rudimentary aspects of sample surveys for finite populations are presented in a compact way. The concepts of population, sample, sampling design, survey data, estimating finite population parameters of interest and consequent errors and their control will be explained and detailed illustrations will be provided. The theory to address general issues will be explained first. Then the need for modification to cover the case of sensitive issues and how to do that will be explained. It will be clearly shown how in a general situation one may handle indirectly procured observations to estimate parameters of interest and also derive estimated measures of accuracy. Sophisticated theoretical details will be presented only in brief. Finally in this chapter we put emphasis on the fact that any probability sampling design may be employed for the purpose of estimating parameters related to stigmatizing characteristics.

Keywords: Unbiased Estimator; Finite Population; Estimate Measure; Confidence Coefficient; Random Mechanism (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-36276-7_2

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DOI: 10.1007/978-3-642-36276-7_2

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