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Title: Bayesian estimation of meiofaunal population using elicited information – A study with experts’ opinion in ecological models
Authors: Kamal, Nasir V
Subbiah, M
Srinivasan, M R
Altaff, K
Naveed, M S
Sugumaran, J
Issue Date: Oct-2012
Publisher: NISCAIR-CSIR, India
Abstract: In most of the statistical models judgment from experts’ opinion has been required for the selection of predictor variables and functional relationships. Ecology, as in other branches of science, involves a complex mechanism of influence on data and its analysis is usually based on sound statistical principles. It is possible to construct realistic ecological models that explain the complex data and could provide the basis for further inference. In this study, an attempt has been made to estimate the prevalence of Meiofaunal population based on the data collected in five stations (Adyar, Marina, Napier, Pulicat and Royapuram) of Chennai coast and the elicited information that would form a basis for constructing realistic priors. Further data pertaining to foraminiferans, a rare group of meiofauna from the five stations of Chennai coast is subjected to Bayesian analysis and the results are discussed.
Page(s): 473-488
ISSN: 0975-1033 (Online); 0379-5136 (Print)
Appears in Collections:IJMS Vol.41(5) [October 2012]

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