Results 71 to 80 of about 24,310,597 (280)
Principal alarms in multivariate statistical process control [PDF]
, 2006 This paper describes a methodology for the simulation of multivariate out of control situations using in-control data. The method is based on finding the independent factors of the variability of the process, and shifting these factors one by one.
González, Isabel, Sánchez, Ismael
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MULTIVARIATE ANALYSIS OF HEALTHCARE SYSTEMS IN SELECTED EUROPEAN UNION COUNTRIES. CLUSTER ANALYSIS.
Quantitative Methods in Economics, 2013 The European Union as a whole tends to be a highly diversified entity. Therefore it should not be surprising that the main goal of EU authorities is the limitation of inequalities among member countries.
Katarzyna Miszczyńska
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit +11 more
wiley +1 more source
Quantitative Methods in Economics, 2013 The aim of this paper is to determine the level of diversification of Polish voivodeships in terms of the selected indicators of transport infrastructure. The data collected from the Local Data Bank of Central Statistical Office will be used in the paper.
Aldona Migała-Warchoł +1 more
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Adaptive Segmentation and Statistical Analysis for Multivariate Big Data Forecasting
Big Data and Cognitive ComputingForecasting high-volume, univariate, and multivariate longitudinal data streams is a critical challenge in Big Data systems, especially with constrained computational resources and pronounced data variability.
Desmond Fomo, Aki-Hiro Sato
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Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay +13 more
wiley +1 more source
Multivariate statistical analysis of parameters of surface water quality in Vojvodina
Zaštita Materijala, 2014 Monitoring of chemical and physical-chemical parameters of surface water is a very important factor in the quality control and management. Surface water quality is largely determined by atmospherics (natural process) and the discharge of industrial and ...
Borko Matijević +4 more
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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
wiley +1 more source
Multivariate L1 Statistical Methods: The Package MNM [PDF]
In the paper we present an R package MNM dedicated to multivariate data analysis based on the L_1 norm. The analysis proceeds very much as does a traditional multivariate analysis. The regular L_2 norm is just replaced by different L_1 norms, observation
Klaus Nordhausen, Hannu Oja
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