Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27563
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: A proposal for a two-step sampling design to oversample units responding to prescribed characteristics
Author(s): Andreis, Federico
Bonetti, Marco
Contact Email: federico.andreis@stir.ac.uk
Keywords: pi-ps designs
Adaptive sampling
Hot deck imputation
Oversampling
Sequential methods
Spatial sampling
Issue Date: 1-Mar-2018
Citation: Andreis F & Bonetti M (2018) A proposal for a two-step sampling design to oversample units responding to prescribed characteristics. Environmental and Ecological Statistics, 25 (1), pp. 139-154. https://doi.org/10.1007/s10651-017-0396-9
Abstract: We introduce a novel method to extract a sample from a finite population where units with desired characteristics are over-represented. The approach is both sequential and adaptive and allows, via suitable compositions of predictive and objective functions, to target specific subsets of the population. We consider the problem of estimation and conjecture the validity of a modified Horvitz–Thompson estimator capable to account for the imbalance induced by the targeting procedure. After discussing how to apply the method to the sampling of geographically distributed units, we investigate its potential via simulations.
DOI Link: 10.1007/s10651-017-0396-9
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. This is a post-peer-review, pre-copyedit version of an article published in Environmental and Ecological Statistics. The final authenticated version is available online at: https://doi.org/10.1007/s10651-017-0396-9
Notes: Online publication date: 19 Jan 2018

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