Search results for " Linear"

showing 10 items of 643 documents

Multiplicity of Solutions for Second Order Two-Point Boundary Value Problems with Asymptotically Asymmetric Nonlinearities at Resonance

2007

Abstract Estimations of the number of solutions are given for various resonant cases of the boundary value problem 𝑥″ + 𝑔(𝑡, 𝑥) = 𝑓(𝑡, 𝑥, 𝑥′), 𝑥(𝑎) cos α – 𝑥′(𝑎) sin α = 0, 𝑥(𝑏) cos β – 𝑥′(𝑏) sin β = 0, where 𝑔(𝑡, 𝑥) is an asymptotically linear nonlinearity, and 𝑓 is a sublinear one. We assume that there exists at least one solution to the BVP.

Asymptotically linearNonlinear systemPoint boundarySublinear functionGeneral MathematicsMathematical analysisMultiplicity (mathematics)Angular functionBoundary value problemMixed boundary conditionMathematicsgmj
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Oceanic and atmospheric linkages with short rainfall season intraseasonal statistics over Equatorial Eastern Africa and their predictive potential

2014

Despite earlier studies over various parts of the world including equatorial Eastern Africa (EEA) showing that intraseasonal statistics of wet and dry spells have spatially coherent signals and thus greater predictability potential, no attempts have been made to identify the predictors for these intraseasonal statistics. This study therefore attempts to identify the predictors (with a 1-month lead time) for some of the subregional intraseasonal statistics of wet and dry spells (SRISS) which showed the greatest predictability potential during the short rainfall season over EEA. Correlation analysis between the SRISS and seasonal rainfall totals on one hand and the predefined predictors on th…

Atmospheric ScienceMagnitude (mathematics)Seasonalitymedicine.diseaseSea surface temperatureBayesian multivariate linear regressionClimatologyStatisticsmedicineEnvironmental sciencePrecipitationIndian Ocean DipolePredictabilityPartial correlationInternational Journal of Climatology
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Bayesian dynamic modeling of time series of dengue disease case counts

2017

The aim of this study is to model the association between weekly time series of dengue case counts and meteorological variables, in a high-incidence city of Colombia, applying Bayesian hierarchical dynamic generalized linear models over the period January 2008 to August 2015. Additionally, we evaluate the model’s short-term performance for predicting dengue cases. The methodology shows dynamic Poisson log link models including constant or time-varying coefficients for the meteorological variables. Calendar effects were modeled using constant or first- or second-order random walk time-varying coefficients. The meteorological variables were modeled using constant coefficients and first-order …

Atmospheric ScienceMeteorological ConceptsUrban PopulationEpidemiologyRainPoisson distributionGeographical locationsDengueMathematical and Statistical Techniques0302 clinical medicineStatisticsMedicine and Health Sciences030212 general & internal medicineAtmospheric DynamicsMathematicsMathematical Modelslcsh:Public aspects of medicinePhysicsElectromagnetic RadiationRandom walkDeviance information criterionGeophysicsInfectious DiseasesMean absolute percentage errorPhysical SciencessymbolsSolar RadiationStatistics (Mathematics)Research ArticleGeneralized linear modelConstant coefficientslcsh:Arctic medicine. Tropical medicinelcsh:RC955-962030231 tropical medicineColombiaDisease SurveillanceResearch and Analysis Methods03 medical and health sciencessymbols.namesakeMeteorologyHumansStatistical MethodsCitiesModel selectionPublic Health Environmental and Occupational Healthlcsh:RA1-1270HumidityBayes TheoremMarkov chain Monte CarloSouth AmericaAtmospheric PhysicsRandom WalkEarth SciencesPeople and placesMathematicsForecastingPLOS Neglected Tropical Diseases
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A correction method for dynamic analysis of linear systems

2004

Abstract This paper proposes an analytical method to improve the accuracy of the dynamic response of classically damped linear systems, as given by a standard truncated modal analysis. Upon computing the first m undamped modes of a n-degree-of-freedom system, two sets of equations in the Rn nodal space are built, which are uncoupled and govern the contribution to the response of the m computed modes and the remaining (n−m) unknown modes, respectively. The first set is solved in the Rm modal space by using the m available modes; the second set is solved in a reduced R(n−m) nodal space, without computing additional modes. Specifically, it is shown that the particular solution of the second se…

Basis (linear algebra)Series (mathematics)Particular solution of linear differential equationMechanical EngineeringModal analysis using FEMModal analysisLinear systemCorrection methodComputer Science ApplicationsMethod of undetermined coefficientsControl theoryModeling and SimulationConvergence (routing)Applied mathematicsGeneral Materials ScienceSeries expansionCivil and Structural EngineeringMathematicsTruncated modal analysis
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Bayesian Methodology in Statistics

2009

Bayesian methods provide a complete paradigm for statistical inference under uncertainty. These may be derived from an axiomatic system and provide a coherent methodology which makes it possible to incorporate relevant initial information, and which solves many of the difficulties that frequentist methods are known to face. If no prior information is to be assumed, the more frequent situation met in scientific reporting, a formal initial prior function, the reference prior, mathematically derived from the assumed model, is used; this leads to objective Bayesian methods, objective in the precise sense that their results, like frequentist results, only depend on the assumed model and the data…

Bayesian statisticsBayes' theoremFrequentist inferenceStatisticsPrior probabilityBayesian hierarchical modelingBayes factorBayesian inferenceBayesian linear regressionMathematics
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Experimental observations of upstream overdeepening

2005

The issue of morphodynamic influence in meandering streams is investigated through a series of laboratory experiments on curved and straight flumes. Both qualitative and quantitative observations confirm the suitability of the recent theoretical developments (Zolezzi & Seminara 2001) that indicate the occurrence of two distinct regimes of morphodynamic influence, depending on the value of the width ratio of the channel β. The threshold value βR separating the upstream from the downstream influence regimes coincides with the resonant value discovered by Blondeaux & Seminara (1985). Indeed it is observed that upstream influence may occur only in relatively wide channels, while narrower stream…

BedformMechanics of MaterialsMechanical EngineeringOverdeepeningThe issue of morphodynamic influence in meandering streams is investigated through a series of laboratory experiments on curved and straight flumes. Both qualitative and quantitative observations confirm the suitability of the recent theoretical developments (Zolezzi & Seminara 2001) that indicate the occurrence of two distinct regimes of morphodynamic influence depending on the value of the width ratio of the channel β. The threshold value βR separating the upstream from the downstream influence regimes coincides with the resonant value discovered by Blondeaux & Seminara (1985). Indeed it is observed that upstream influence may occur only in relatively wide channels while narrower streams are dominated by downstream influence. A series of experiments has been carried out in order to check the above theoretical predictions and show for the first time evidence of the occurrence of upstream overdeepening. Two different sets of experiments have been designed where a discontinuity in channel geometry was present such that the channel morphodynamics was influenced in the upstream direction under super-resonant conditions (β >βR) and in the downstream direction under sub-resonant conditions (β <βR). Experimental results give qualitative and quantitative support to the theoretical predictions and allow us to clarify the limits of the linear analysis.MechanicsLinear analysisCondensed Matter PhysicsWidth ratioGeology
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Protective role of mindfulness, self-compassion and psychological flexibility on the burnout subtypes among psychology and nursing undergraduate stud…

2021

Abstract To explore the relationship between mindfulness, self-compassion and psychological flexibility, and the burnout subtypes in university students of the Psychology and Nursing degrees, and to analyse possible risk factors for developing burnout among socio-demographic and studies-related characteristics. Design Cross-sectional study conducted on a sample of 644 undergraduate students of Nursing and Psychology from two Spanish universities. Methods The study was conducted between December 2015 and May 2016. Bivariate Pearson's correlations were computed to analyse the association between mindfulness facets, self-compassion and psychological flexibility, and levels of burnout. Multivar…

Bienestar del estudianteMindfulnesshealth care facilities manpower and servicesEnfermedad profesionalCalidad de la vida laboraleducationBivariate analysisBurnoutLogistic regression03 medical and health sciences0302 clinical medicineNursinghealth services administrationBayesian multivariate linear regressionHumansMeditación030212 general & internal medicineAssociation (psychology)Burnout ProfessionalGeneral Nursing030504 nursingFlexibility (personality)Cross-Sectional StudiesAtención plenaStudents NursingEmpathy0305 other medical sciencePsychologyMindfulnesspsychological phenomena and processesSelf-compassionJournal of advanced nursingREFERENCES
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Alternating model trees

2015

Model tree induction is a popular method for tackling regression problems requiring interpretable models. Model trees are decision trees with multiple linear regression models at the leaf nodes. In this paper, we propose a method for growing alternating model trees, a form of option tree for regression problems. The motivation is that alternating decision trees achieve high accuracy in classification problems because they represent an ensemble classifier as a single tree structure. As in alternating decision trees for classification, our alternating model trees for regression contain splitter and prediction nodes, but we use simple linear regression functions as opposed to constant predicto…

Boosting (machine learning)Computer scienceWeight-balanced treeDecision treeLogistic model treeStatistics::Machine LearningComputingMethodologies_PATTERNRECOGNITIONTree structureStatisticsLinear regressionAlternating decision treeGradient boostingSimple linear regressionAlgorithmProceedings of the 30th Annual ACM Symposium on Applied Computing
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La circulation des objets métalliques à l'âge du Bronze entre Rhône et Saône: utilisation d'une transformation cartographique linéaire

2006

In order to gain a better understanding of circulation flows of metal objects during the Bronze Age, and move beyond traditional distribution maps of archaeological discoveries, the authors propose a more quantitative and concise method of graphic representation, namely cartographic linear transformation. The value of the method was tested on the Saône-Rhône axis. Bronze axes, swords and daggers were recorded along a 50 km strip either side of the river axis, in order to estimate the frequency and mass of objects in “circulation”.

Bronze AgeCartography[SHS.STAT]Humanities and Social Sciences/Methods and statistics[SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and PrehistoryCartographieRhôneArqueologíaCartographic linear transformationArchaeologyAge du Bronze[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory[SHS.STAT] Humanities and Social Sciences/Methods and statisticscirculationTransformación cartográfica linearSaôneCartografíaRódanoEdad del Bronce[ SHS.STAT ] Humanities and Social Sciences/Methods and statisticstransformation cartographique
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CAE DI PROCESSI DI SALDATURA LINEAR FRICTION WELDING.

2012

CAESettore ING-IND/16 - Tecnologie E Sistemi Di LavorazionePROCESSI DI SALDATURA LINEAR FRICTION WELDING.
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