Bayesian one-sided credibility bounds for proportion using a two-stage sampling plan involving imperfect and perfect classification

Bayesian one-sided credibility bounds for proportion using a two-stage sampling plan involving imperfect and perfect classification

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Bibliographic Details
Main Author: Neden, Linda Rose
Published: 2013
Online Access:http://hdl.handle.net/1993/15452
id ndltd-LACETR-oai-collectionscanada.gc.ca-MWU.1993-15452
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-MWU.1993-154522014-03-29T03:46:23Z Bayesian one-sided credibility bounds for proportion using a two-stage sampling plan involving imperfect and perfect classification Neden, Linda Rose 2013-01-28T15:21:54Z 2013-01-28T15:21:54Z 1986 http://hdl.handle.net/1993/15452
collection NDLTD
sources NDLTD
description
author Neden, Linda Rose
spellingShingle Neden, Linda Rose
Bayesian one-sided credibility bounds for proportion using a two-stage sampling plan involving imperfect and perfect classification
author_facet Neden, Linda Rose
author_sort Neden, Linda Rose
title Bayesian one-sided credibility bounds for proportion using a two-stage sampling plan involving imperfect and perfect classification
title_short Bayesian one-sided credibility bounds for proportion using a two-stage sampling plan involving imperfect and perfect classification
title_full Bayesian one-sided credibility bounds for proportion using a two-stage sampling plan involving imperfect and perfect classification
title_fullStr Bayesian one-sided credibility bounds for proportion using a two-stage sampling plan involving imperfect and perfect classification
title_full_unstemmed Bayesian one-sided credibility bounds for proportion using a two-stage sampling plan involving imperfect and perfect classification
title_sort bayesian one-sided credibility bounds for proportion using a two-stage sampling plan involving imperfect and perfect classification
publishDate 2013
url http://hdl.handle.net/1993/15452
work_keys_str_mv AT nedenlindarose bayesianonesidedcredibilityboundsforproportionusingatwostagesamplingplaninvolvingimperfectandperfectclassification
_version_ 1716660433468784640

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