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Griffith University: Griffith Research Online
Book . 2019
Full-Text: http://hdl.handle.net/10072/415799
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https://doi.org/10.1201/978042...
Book . 2019 . Peer-reviewed
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Mixture Modelling for Medical and Health Sciences

descriptionPublicationkeyboard_double_arrow_right Book 03 May 2019 Australia Publisher:Chapman and Hall/CRC
Authors: Ng, Shu-Kay; Xiang, Liming; Yau, Kelvin Kai Wing;

doi: 10.1201/9780429195181

handle: 10072/415799

Mixture Modelling for Medical and Health Sciences

Abstract

Mixture Modelling for Medical and Health Sciences provides a direct connection between theoretical developments in mixture modelling and their applications in real world problems. The book describes the development of the most important concepts through comprehensive analyses of real and practical examples taken from real-life research problems in

Country
Australia
Related Organizations
Keywords

Biometry, Medicinal and biomolecular chemistry, Mathematics

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 10
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Average
Top 10%
Green