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Mixture models for overdispersed data

Jonathan R. Rhodes

in Ecological Statistics: Contemporary theory and application

Published in print:
2015
Published Online:
April 2015
ISBN:
9780199672547
eISBN:
9780191796487
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199672547.003.0013
Subject:
Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology

Ecological data often do not conform to the assumptions of standard probability distributions and this has important implications for the validity of statistical inference. A common reason for this ... More


Clustering and unsupervised classification

Peter Grindrod CBE

in Mathematical Underpinnings of Analytics: Theory and Applications

Published in print:
2014
Published Online:
March 2015
ISBN:
9780198725091
eISBN:
9780191792526
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780198725091.003.0005
Subject:
Mathematics, Analysis, Probability / Statistics

This chapter examines iterative clustering methods including finite mixture modelling based on the EM algorithm. Applications to behavioural segmentation of domestic energy customers, the ... More


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