Results 71 to 80 of about 175,462,743 (276)
Evaluating the Predictive Power of Ordination Methods in Ecological Context
Mathematics, 2018 When striving for the ordination methods best predicting independently measured site factors, the following questions arise: does the optimal choice depend on the kind of biological community analysed?
Otto Wildi
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
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Applied Multivariate Research, v.12 no.2 (complete version)
, 2006 The journal Applied Multivariate Research is sponsored by the Society for Applied Multivariate Research and specializes in publishing methodological and content papers that deal with the application of both classical and more modem multivariate ...
core +1 more source
The Subset Problem in Multivariate Analysis of Variance [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1976 Summary As with most other multivariate techniques, methods such as discriminant analysis which depend on multivariate analysis of variance are affected adversely by the inclusion of irrelevant variables. This paper discusses the problem of finding a parsimonious subset of variables that is essentially as good as the full set.
openaire +2 more sources
Revista de la Facultad de Agronomía, 2019 Wild passion fruit specimens are alternatives to diversify the production system. Wild passion fruit ‘BRS Pérola do Cerrado’ (‘BRS PC’) was developed from Passiflora setacea species, and has increased yield, diseases resistance, it is also an ...
Kenia Gracielle Fonseca +3 more
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Alternative for the evaluation of coffee seedlings using Fisher's discriminant analysis
Revista Ciência Agronômica, 2016 One of the applications of Fisher's linear discriminant function (FDF) is its use in transforming multivariate data into a new univariate variable. This then makes possible a new option for the variance analysis of multivariate data, in addition to the ...
Katia Alves Campos +2 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song +10 more
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Applied Multivariate Research, v.12 no.3 (complete version)
, 2007 The third issue of Applied Multivariate Research edited by Dennis L. JacksonThe article "Cluster analysis and rankings of Canadian universities: Misadventures with rank-based data and implications for the welfare of students" by Kenneth M.
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Assessment of Tigris River Water Quality Using Multivariate Statistical Techniques
Tikrit Journal of Engineering Sciences, 2019 The present study uses the multivariate statistical techniques by applying the Factor Analysis (Principle component method) to explain the observed water quality data of Tigris river within Baghdad city. The water quality was analyzed at eleven different
Muntasir A..Shareef
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
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