 PreliminariesParimal Mukhopadhyay ()
Chapter Chapter 1 in Complex Surveys, 2016, pp 1-26 from Springer Abstract: Abstract This chapter reviews some basic concepts in problems of estimating a finite population parameter through a sample survey, both from a design-based approach and a model-based approach. After introducing the concepts of finite population, sample, sampling design, estimator, and sampling strategy, this chapter makes a classification of usual sampling designs and takes a cursory view of some estimators. The concept of superpopulation model is introduced and model-based theory of inference on finite population parameters and model parameters is looked into. The role of superpopulation model vis-a-vis sampling design for making inference about a finite population has been outlined. Finally, a plan of the book has been sketched. Keywords: Finite population; Sample; Sampling frame; Sampling design; Inclusion probability; Sampling strategy; Horvitz–Thompson estimator; PPS sampling; Rao–Hartly–Cochran strategy; Generalized difference estimator; GREG; Multistage sampling; Two-phase sampling; Self-weighting design; Superpopulation model; Design-predictor pair; BLUP; Purposive sampling design (search for similar items in EconPapers) There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-10-0871-9_1 Ordering information: This item can be ordered from DOI: 10.1007/978-981-10-0871-9_1 Access Statistics for this chapter More chapters in Springer Books from Springer |
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