Search results for "parallel analysis"

showing 2 items of 2 documents

Measurement of the single-top-quark production cross section at CDF.

2008

We report a measurement of the single top quark production cross section in 2.2 ~fb-1 of p-pbar collision data collected by the Collider Detector at Fermilab at sqrt{s}=1.96 TeV. Candidate events are classified as signal-like by three parallel analyses which use likelihood, matrix element, and neural network discriminants. These results are combined in order to improve the sensitivity. We observe a signal consistent with the standard model prediction, but inconsistent with the background-only model by 3.7 standard deviations with a median expected sensitivity of 4.9 standard deviations. We measure a cross section of 2.2 +0.7 -0.6(stat+sys) pb, extract the CKM matrix element value |V_{tb}|=0…

StandardsTop quarkParticle physicsFOS: Physical sciencesGeneral Physics and Astronomyddc:500.2Astrophysics::Cosmology and Extragalactic Astrophysics114 Physical sciences01 natural sciencesStandard ModelHigh Energy Physics - ExperimentNuclear physicsHigh Energy Physics - Experiment (hep-ex)Tellurium compoundsMatrix elementsCross section (physics)Colliding beam acceleratorsStandard deviations0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Sensitivity (control systems)010306 general physicsStandard models14.65.Ha 13.85Qk 12.15Hh 12.15.JiPhysicshep-ex010308 nuclear & particles physicsCabibbo–Kobayashi–Maskawa matrixPhysicsStatisticsHigh Energy Physics::PhenomenologyOrder (ring theory)Collider Detector at FermilabCross sections_Parallel analysisProduction (computer science)High Energy Physics::ExperimentCollider Detector at FermilabNeural networksQuark productions
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Calculus Self-Efficacy Inventory : Its Development and Relationship with Approaches to Learning

2019

This study was framed within a quantitative research methodology to develop a concise measure of calculus self-efficacy with high psychometric properties. A survey research design was adopted in which 234 engineering and economics students rated their confidence in solving year-one calculus tasks on a 15-item inventory. The results of a series of exploratory factor analyses using minimum rank factor analysis for factor extraction, oblique promin rotation, and parallel analysis for retaining extracted factors revealed a one-factor solution of the model. The final 13-item inventory was unidimensional with all eigenvalues greater than 0.42, an average communality of 0.74, and a 62.55% variance…

Public AdministrationPsychometricseducationPhysical Therapy Sports Therapy and RehabilitationMeasure (mathematics)surface approachEducationCorrelation0504 sociologyCronbach's alphaDevelopmental and Educational PsychologyComputer Science (miscellaneous)Calculusparallel analysisMathematicsSelf-efficacydeep approachSeries (mathematics)05 social sciencesRank (computer programming)050401 social sciences methods050301 educationVariance (accounting)Computer Science Applicationsstomatognathic diseaseshigher educationlcsh:Lself-efficacy0503 educationlcsh:Education
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