A Bayesian approach for estimating a proportion using a two-stage sampling scheme involving imperfect and perfect classification

Bibliographic Details
Main Author: Nowicki, Scott P.
Published: 2013
Online Access:http://hdl.handle.net/1993/18374
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-MWU.1993-183742014-03-29T03:47:12Z A Bayesian approach for estimating a proportion using a two-stage sampling scheme involving imperfect and perfect classification Nowicki, Scott P. 2013-04-04T20:30:41Z 2013-04-04T20:30:41Z 1991 http://hdl.handle.net/1993/18374
collection NDLTD
sources NDLTD
description
author Nowicki, Scott P.
spellingShingle Nowicki, Scott P.
A Bayesian approach for estimating a proportion using a two-stage sampling scheme involving imperfect and perfect classification
author_facet Nowicki, Scott P.
author_sort Nowicki, Scott P.
title A Bayesian approach for estimating a proportion using a two-stage sampling scheme involving imperfect and perfect classification
title_short A Bayesian approach for estimating a proportion using a two-stage sampling scheme involving imperfect and perfect classification
title_full A Bayesian approach for estimating a proportion using a two-stage sampling scheme involving imperfect and perfect classification
title_fullStr A Bayesian approach for estimating a proportion using a two-stage sampling scheme involving imperfect and perfect classification
title_full_unstemmed A Bayesian approach for estimating a proportion using a two-stage sampling scheme involving imperfect and perfect classification
title_sort bayesian approach for estimating a proportion using a two-stage sampling scheme involving imperfect and perfect classification
publishDate 2013
url http://hdl.handle.net/1993/18374
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AT nowickiscottp bayesianapproachforestimatingaproportionusingatwostagesamplingschemeinvolvingimperfectandperfectclassification
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