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Mixture models : inference and applications to clustering
General Introduction Introduction History of Mixture Models Background to the General Classification Problem Mixture Likelihood Approach to Clustering Identifiability Likelihood Estimation forExpand
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The EMMIX software for the fitting of mixtures of normal and t-components
We consider the fitting of normal and t-component mixture models to multivariate data, using maximum likelihood via the EM algorithm. Expand
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Seed compositional and disease resistance differences among gene pools in cultivated common bean
It is widely accepted that two major gene pools exist in cultivatedcommon bean, one Middle American and one Andean. Recently another gene pool,designated as North Andean and a fourth group (notExpand
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Genotype×environment interactions and some considerations of their implications for wheat breeding in Australia This review is one of a series commissioned by the Advisory Committee of the Journal.
Genotype×environment (G×E) interactions complicate selection forbroad adaptation, while their nature and causes need to be understood toutilise and exploit them in selection for specific adaptation.Expand
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Standard errors of fitted component means of normal mixtures
In this paper use consider the problem of providing standard errors of the component means in normal mixture models fitted to univariate or multivariate data by maximum likelihood via the EMExpand
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The mixture method of clustering applied to three-way data
Clustering or classifying individuals into groups such that there is relative homogeneity within the groups and heterogeneity between the groups is a problem which has been considered for many years.Expand
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The analysis of designed experiments and longitudinal data by using smoothing splines - Discussion
In designed experiments and in particular longitudinal studies, the aim may be to assess the effect of a quantitative variable such as time on treatment effects. Modelling treatment effects can beExpand
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Using molecular markers to assess the effect of introgression on quantitative attributes of common bean in the Andean gene pool
Progress in bean breeding programs requires the exploitation of genetic variation that is present among races or through introgression across gene pools of Phaseolus vulgaris L. Of the two majorExpand
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