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An application of adaptive sampling to estimate highly localized population segments

✍ Scribed by Arijit Chaudhuri; Mausumi Bose; J.K Ghosh

Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
226 KB
Volume
121
Category
Article
ISSN
0378-3758

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✦ Synopsis

It is di cult to enumerate the people in India who are engaged in various small-scale industries in the unorganized sector because they are concentrated in small regional pockets. In estimating separately the total numbers of workers earning principally through ten respective single-industries in the unorganized small-scale sector in a speciÿc district in rural India, through numerical illustrations we have two observations to report: (1) A traditional stratiÿed two-stage sampling scheme is ine ective for some of the industries because of failures to capture the earners concentrated in priorly unknown locations. (2) An adaptive sampling scheme extending the initial sample by appropriate 'network' formations based on well-deÿned 'neighbourhoods' brings about dramatic improvements exploiting clustering tendencies of earners by di erent industries.

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