Calculating the probability of absence using the Credible Interval Value
A common question that arises when considering the results from a well-designed sampling programme for a rare or invasive species is: 'Sampling has failed to detect a species that could have been present, so can we calculate the probability that it truly was absent during the sampling period?...
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Published in | New Zealand journal of ecology Vol. 35; no. 2; pp. 189 - 190 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Christchurch
New Zealand Ecological Society
01.01.2011
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Subjects | |
Online Access | Get full text |
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Summary: | A common question that arises when considering the results from a well-designed sampling programme for a rare or invasive species is: 'Sampling has failed to detect a species that could have been present, so can we calculate the probability that it truly was absent during the sampling period?' Noting that this invokes a Bayesian view of 'probability', which therefore must be accepted if the question is to be answered in the affirmative, we present a method of addressing it. |
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Bibliography: | Archived by the National Library of New Zealand Includes illustration, references ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0110-6465 1177-7788 1177-7788 |