Computational and analytical methods for constructing a multilevel model for human glucose metabolism by Green, Kathleen Alice

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Contemplating Statistics : estimation and regression according to arc lengths

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Discriminant analysis : a review of its application to the classificationof grape cultivars by Blignaut, Rennette Julia

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The identification and application of common principal components by Pepler, Pieter Theo

Subjects: “…Hospital utilization -- Length of stay -- Mathematical models…”
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An investigation of the 2012 Annual National Assessment Grade 6 mathematics instrument

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Statistical analysis of grouped data

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Comparison of classification techniques to review the plausibility of adjustments to multiples-based equity valuations : empirical study for South Africa by Gouws, Jauné

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Methodological issues around the validation of models for predicting diabetes risk in developing countries by Masconi, Katya Laura

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A Bayesian extreme value approach to the optimal reinsurance problem in a multivariate risk setting by Steenkamp, Shaun Francois

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Detecting change in complex process systems with phase space methods by Botha, Paul Jacobus

“…A large number of the methods designed for nonlinear systems make use of statistics defined in phase space, which led to the method proposed in this study. …”
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A critical theory enquiry in the development of number sense in Namibian first year pre-service secondary mathematics teachers by Naukushu, Shiwana Teeleni

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The development and psychometric evaluation of a graduate leader competency questionnaire by Pienaar, Jacques

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A framework for evaluating clinical data using graph-based link prediction by Parshotam, Himil

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Landscape analysis-based automated algorithm selection by Lang, Ryan Dieter

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Exploring a meta-theoretical framework for dynamic assessment and intelligence

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Enhancing realised volatility prediction in emerging markets by Maphatsoe, Phuthehang

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Detecting fraud in cellular telephone networks by Van Heerden, Johan H.

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Under pressure : music therapy for examination anxiety in Grade seven learners

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Integration of multi-omic data and neuroimaging characteristics in studying brain related diseases by Elsheikh, Samar Salah Mohamedahmed

“…In addition to that, we performed a multi-stage radiogenomic analysis in glioblastoma using non-parametric statistical methods. To address some limitations in the methods, we adopted the Structural Equation Model and developed a mathematical model to examine the inter-correlation between neuroimaging and multi-omic characteristics of brain-related diseases. …”
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Bayesian learning of regularized Gaussian graphical networks

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