Search results for "Parametric"

showing 10 items of 980 documents

Cost and profit efficiency in the Spanish banking sector (1985–1996): a non-parametric approach

2003

The aim of this article is to analyse the efficiency in costs and in profits of the Spanish banking sector (SBS) in the period 1985–1996 using a non-parametric approach. The results obtained show the existence of profit efficiency levels well below those corresponding to cost efficiency, alternative profit efficiency being below standard profit efficiency. These results imply the existence of market power in the setting of prices and/or the existence of differences in the quality of bank output reflected in the differences in prices. With regard to the immediate future, of full economic and monetary integration, the reduction of profit levels associated with higher competitive pressure may …

MicroeconomicsEconomics and EconometricsReturn on assetsCost efficiencyProfit marginEconomicsNonparametric statisticsMarket powerInefficiencyProfit efficiencyFinanceProfit (economics)Applied Financial Economics
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Permutation Test (PT) and Tolerated Difference Test (TDT): Two new, robust and powerful nonparametric tests for statistical comparison of dissolution…

2013

The most popular way of comparing oral solid forms of drug formulations from different batches or manufacturers is through dissolution profile comparison. Usually, a similarity factor known as (f2) is employed; However, the level of confidence associated with this method is uncertain and its statistical power is low. In addition, f2 lacks the flexibility needed to perform in special scenarios. In this study two new statistical tests based on nonparametrical Permutation Test theory are described, the Permutation Test (PT), which is very restrictive to confer similarity, and the Tolerated Difference Test (TDT), which has flexible restrictedness to confer similarity, are described and compared…

Models StatisticalNonparametric statisticsAdministration OralPharmaceutical ScienceSampling (statistics)Models TheoreticalStatistics NonparametricStatistical powerConfidence intervalPharmaceutical PreparationsSolubilitySimilarity (network science)Robustness (computer science)ResamplingStatisticsComputer SimulationMathematicsStatistical hypothesis testingInternational Journal of Pharmaceutics
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Ultimate Shear of RC Beams with Corroded Stirrups and Strengthened with FRP

2019

Transverse reinforcement plays a key role in the response behavior of reinforced concrete beams. Therefore, corrosion of steel stirrups may change the failure mode of elements from bending to shear, leading to a brittle and catastrophic crisis. It is important to strengthen reinforced concrete beams with corroded stirrups to enhance the shear resistance. This paper presents a formulation, based on the modified compression field theory, to estimate the ultimate shear of reinforced concrete beams strengthened with FRP, because of stirrup corrosion. The detrimental effect of corrosion on steel stirrup yield strength was taken into account by introducing an empirical decay law. The effective st…

Modified Compression Field TheoryBeams; Corrosion; FRP; MCFT; Parametric analysis; Reinforced concrete; Shear; Stirrups; Civil and Structural Engineering; Building and ConstructionMaterials science0211 other engineering and technologies020101 civil engineering02 engineering and technologyshearstirrupslcsh:TH1-97450201 civil engineeringCorrosioncorrosion; stirrups; shear; FRP; MCFT; reinforced concrete; beams; parametric analysisBrittleness021105 building & constructionArchitectureMCFTCivil and Structural EngineeringEnvironmental Science (all)corrosion2300Parametric analysibusiness.industryBeamStructural engineeringBuilding and ConstructionFibre-reinforced plasticBeams; Corrosion; FRP; MCFT; Parametric analysis; Reinforced concrete; Shear; Stirrups; Architecture; 2300; Environmental Science (all); Civil and Structural Engineering; Building and ConstructionReinforced concretereinforced concreteStirrupShear (geology)parametric analysisbeamsbusinessFailure mode and effects analysisFRPlcsh:Building constructionBuildings; Volume 9; Issue 2; Pages: 34
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Severe third molar complications including death-lessons from 100 cases requiring hospitalization.

2006

Purpose In this study we investigated patients that were hospitalized due to third molar (M3) complications. Specifically we analyzed frequency, age distribution, and outcome with respect to the M3 clinical status. Patients and Methods We set up a prospective cohort study and included 100 subjects admitted for management of acute M3-associated complications. The clinical status of the M3 was defined as 1 ) prophylactic M3 removal, 2 ) therapeutic (nonelective) M3 removal, or 3 ) M3 present at the time of admission. Outcome variables were clinical infection markers (C-reactive protein, leukocyte counts) and economic parameters (treatment costs, length of hospital stay, and days of disability…

MolarAdultMalemedicine.medical_specialtyPericoronitisAdolescentMyocardial InfarctionLeukocyte CountsStatistics NonparametricLeukocyte CountFatal OutcomeCost of IllnessGermanySickness Impact ProfilemedicineHumansSurgical Wound InfectionMyocardial infarctionProspective StudiesHospital CostsProspective cohort studyAgedAged 80 and overbusiness.industryLength of StayMiddle Agedmedicine.diseaseProphylactic SurgerySurgeryC-Reactive ProteinOtorhinolaryngologyTooth ExtractionSurgeryObservational studyFemaleMolar ThirdPericoronitisOral SurgeryComplicationbusinessJournal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons
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Effect of diode laser irradiation on the attachment rate of periodontal ligament cells: an in vitro study.

2001

The present study is part of a basic research program investigating the cellular effects of an 810 nm GaAlAs-diode laser on human periodontal tissues. The aim of the investigation was to evaluate the effects of laser treatment of root surface specimens on the attachment of periodontal ligament (PDL) cells in vitro.Root specimens were prepared from periodontally diseased teeth. PDL cells were obtained from human third molar ligaments. Cells were cultured under simple, standardized, and reproducible experimental conditions. One hundred fifty root specimens were scaled and root planed with curets followed by air-powder abrasive treatment; 75 were then lased and 75 served as controls. The irrad…

MolarMaleTime FactorsPeriodontal LigamentDentistryCell CountGalliumIrradiation timeArsenicalsStatistics Nonparametriclaw.inventionCurettageRoot Planingstomatognathic systemlawCell AdhesionIn vitro studyPeriodontal fiberHumansPeriodontal PocketPower outputIrradiationTooth RootColoring AgentsCells CulturedObserver Variationbusiness.industryChemistryLasersFibroblastsLaserIn vitroMethylene BlueMicroscopy Electron ScanningPeriodonticsDental ScalingFemalebusinessAluminumJournal of periodontology
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Functional Data Analysis for Gait Analysis after Stroke

2013

Variability is one of the key determinants of gait after stroke. Functional Data Analysis (FDA) is a suitable tool to deal with variability associated with movement analysis patterns. In this contribution (FDA) has been applied for the analysis 53 post-stroke patients. Functional Principal Components Analysis (FPCA) has been applied. Dependence of velocity on the functional state of the patient has been found as well as other mechanisms that are hidden in conventional parametric analysis of the curves.

Movement analysismedicine.medical_specialtyPhysical medicine and rehabilitationGait (human)Parametric analysisComputer scienceGait analysisHorizontal forcePrincipal component analysismedicineFunctional data analysismedicine.diseaseStroke
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Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models

2017

The most common approach to assess the dynamical complexity of a time series across multiple temporal scales makes use of the multiscale entropy (MSE) and refined MSE (RMSE) measures. In spite of their popularity, MSE and RMSE lack an analytical framework allowing their calculation for known dynamic processes and cannot be reliably computed over short time series. To overcome these limitations, we propose a method to assess RMSE for autoregressive (AR) stochastic processes. The method makes use of linear state-space (SS) models to provide the multiscale parametric representation of an AR process observed at different time scales and exploits the SS parameters to quantify analytically the co…

MultidisciplinaryArticle SubjectGeneral Computer ScienceMean squared errorSeries (mathematics)Computer scienceStochastic processEntropymultiscale analysis01 natural sciencesMeasure (mathematics)lcsh:QA75.5-76.95010305 fluids & plasmasEntropy; multiscale analysisAutoregressive model0103 physical sciencesSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaState spacelcsh:Electronic computers. Computer science010306 general physicsRepresentation (mathematics)AlgorithmParametric statistics
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Multivariate nonparametric tests in a randomized complete block design

2003

AbstractIn this paper multivariate extensions of the Friedman and Page tests for the comparison of several treatments are introduced. Related unadjusted and adjusted treatment effect estimates for the multivariate response variable are also found and their properties discussed. The test statistics and estimates are analogous to the traditional univariate methods. In test constructions, the univariate ranks are replaced by multivariate spatial ranks (J. Nonparam. Statist. 5 (1995) 201). Asymptotic theory is developed to provide approximations for the limiting distributions of the test statistics and estimates. Limiting efficiencies of the tests and treatment effect estimates are found in the…

Multivariate Friedman testStatistics and ProbabilityMultivariate statisticsNumerical AnalysisMultivariate analysisUnivariateNonparametric statisticsMultivariate normal distributionPitman efficiencyRotation invarianceMultivariate analysis of varianceFriedman testAffine invarianceStatisticsTest statisticSpatial rankStatistics Probability and UncertaintyMultivariate Page testMathematicsJournal of Multivariate Analysis
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Influence Functions and Efficiencies of k-Step Hettmansperger–Randles Estimators for Multivariate Location and Regression

2016

In Hettmansperger and Randles (Biometrika 89:851–860, 2002) spatial sign vectors were used to derive simultaneous estimators of multivariate location and shape. Oja (Multivariate nonparametric methods with R. Springer, New York, 2010) proposed a similar approach for the multivariate linear regression case. These estimators are highly robust and have under general assumptions a joint limiting multinormal distribution. The estimates are easy to compute using fixed-point algorithms. There are however no exact proofs for the convergence of these algorithms. The existence and uniqueness of the solutions also still remain unproven although we believe that they hold under general conditions. To ci…

Multivariate statistics05 social sciencesNonparametric statisticsEstimator01 natural sciencesRegression010104 statistics & probabilityDistribution (mathematics)Bayesian multivariate linear regression0502 economics and businessLinear regressionEconometricsApplied mathematicsUniqueness0101 mathematics050205 econometrics Mathematics
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MuTE: a new matlab toolbox for estimating the multivariate transfer entropy in physiological variability series

2014

We present a new time series analysis toolbox, developed in Matlab, for the estimation of the Transfer entropy (TE) between time series taken from a multivariate dataset. The main feature of the toolbox is its fully multivariate implementation, that is made possible by the design of an approach for the non-uniform embedding (NUE) of the observed time series. The toolbox is equipped with parametric (linear) and non-parametric (based on binning or nearest neighbors) entropy estimators. All these estimators, implemented using the NUE approach in comparison with the classical approach based on uniform embedding, are tested on RR interval, systolic pressure and respiration variability series mea…

Multivariate statisticsComputer scienceBiomedical EngineeringEstimatorToolboxSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaStatisticsEntropy (information theory)Transfer entropyTime seriesMATLABAlgorithmcomputerParametric statisticscomputer.programming_language
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