Search results for "Parametric"

showing 10 items of 980 documents

Sealing ability of five different retrograde filling materials.

1996

The sealing ability of Amalgam, Harvard-Cement, Diaket, gold-leaf, and Ketac-Endo as retrofilling materials was investigated. Paper cones were fixed with Harvard-Cement in the instrumented roots of 100 extracted human incisors. Apicectomy was performed and a 2-mm-deep retrograde cavity was prepared. Teeth were assigned to five groups (n = 20); each group received a different filling material. Surfaces of the roots were isolated with nail polish. Teeth, were stored in 1% methylene blue dye for 72 h. Roots were sectioned, and the depth of dye penetration was evaluated through a stereomicroscope. Retrofills with Ketac-Endo showed significantly less leakage compared with amalgam. There was no s…

Dye penetrationZinc Phosphate CementMaterials scienceDentistryMandibleGold foilDental AmalgamApicectomyStatistics NonparametricRoot Canal Filling Materialsstomatognathic systemIncisorStereo microscopemedicineMaxillaHumansGeneral DentistryDental Leakagebusiness.industrySignificant differencetechnology industry and agricultureIncisorstomatognathic diseasesDrug Combinationsmedicine.anatomical_structureFilling materialsEvaluation Studies as TopicGlass Ionomer CementsRetrograde ObturationPolyvinylsZinc OxidebusinessBismuthZinc Phosphate CementJournal of endodontics
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Feasibility of Linear Parametric Estimation of Dynamic Information Measures to assess Physiological Stress from Short-Term Cardiovascular Variability

2021

Extensive efforts have been recently devoted to implement fast and reliable algorithms capable of assessing the physiological response of the organism to physiological stress. In this study, we propose the comparison between model-free and linear parametric methods as regards their ability to detect alterations in the dynamics and in the complexity of cardiovascular and respiratory variability evoked by postural and mental stress. Dynamic entropy (DE) and information storage (IS) measures were calculated on three physiological time-series, i.e. heart period, respiratory volume and systolic arterial pressure, on 61 healthy subjects monitored in resting conditions as well as during head-up ti…

Dynamic entropylinear parametric estimationHeartCardiovascular Systeminformation storagesystolic arterial pressureHeart RatePregnancyStress PhysiologicalSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaFeasibility StudiesHumansFemaleheart rate variability (HRV)Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Nonlinear System Response for Impulsive Parametric Input

1997

In engineering applications when the intensity of external forces depends on the response of the system, the input is called parametric. In this paper dynamical systems subjected to a parametric deterministic impulse are dealt with. Particular attention has been devoted to the evaluation of the discontinuity of the response when the parametric impulse occurs. The usual forward difference and trapezoidal integration schemes have been shown to provide only approximated solutions of the jump of the response; hence, the exact solution has been pursued and presented under the form of a numerical series. The impulse is represented throughout the paper by means of a classical Dirac’s delta functio…

Dynamical systems theoryFinite impulse responseMechanical EngineeringFinite differenceDirac delta functionImpulse (physics)Condensed Matter Physicssymbols.namesakeMechanics of MaterialsControl theorysymbolsApplied mathematicsInfinite impulse responseImpulse responseMathematicsParametric statisticsJournal of Applied Mechanics
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A multicriteria extension of the efficient market hypothesis

2021

Challenging the Efficient Market Hypothesis (EMH) has been a recurrent topic for researchers and practitioners since its formulation. Hundreds of empirical studies claim to either prove or disprove the EMH by means of a number of heterogeneous methods. Even though the EMH is usually adjusted to a measure of risk, there is a lack of a formal analysis within a multiple-criteria context. In this paper, we propose a extension of the EMH that accommodates the foundations of multiple-criteria decision analysis. To this end, we rely on a family of parametric signed dissimilarity measures to assess multidimensional performance differences. Since normalization is a critical step in our approach to a…

ECONOMIA APLICADAefficient market hypothesisComputer scienceGeneral MathematicsSigned measuresContext (language use)multiple-criteria test02 engineering and technology:CIENCIAS ECONÓMICAS [UNESCO]Efficient market hypothesisEfficient-market hypothesisEmpirical research0502 economics and business0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)EconometricsNormalization (sociology)Empirical evidenceEngineering (miscellaneous)Parametric statisticsMultiple-criteria test050208 financelcsh:Mathematics05 social sciencesUNESCO::CIENCIAS ECONÓMICASExtension (predicate logic)lcsh:QA1-93912.- Garantizar las pautas de consumo y de producción sosteniblesNormalizationnormalizationsigned measuresECONOMIA FINANCIERA Y CONTABILIDAD020201 artificial intelligence & image processingDecision analysis
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Decomposing changes in the conditional variance of GDP over time

2017

A well established fact in the growth empirics literature is the increasing (unconditional) variation in output per capita across countries. We propose a nonparametric decomposition of the conditional variation of output per capita across countries to capture different channels over which the variation might be increasing. We find that OECD countries have experienced diminishing conditional variation while other regions have experienced increasing conditional variation. Our decomposition suggests that most of these changes in the conditional variance of output are due to unobserved factors not accounted for by the traditional growth determinants. In addition to this we show that these facto…

Economics and Econometrics05 social sciencesNonparametric statisticsOecd countriesConditional variationVariation (linguistics)0502 economics and businessStatisticsGeneralized KernelPer capitaEconomicsEconometricsNonparametric050207 economicsSettore SECS-P/01 - Economia PoliticaConditional variance050205 econometrics
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How efficient is maize production among smallholder farmers in Zimbabwe? A comparison of semiparametric and parametric frontier efficiency analyses

2018

The controversial Fast Track Land Reform Programme in Zimbabwe that redistributes commercially-owned farmland to smallholder households has caused concerns about the efficiency of agricultural prod...

Economics and Econometrics050208 financebusiness.industry05 social sciencesAgricultural economicsFrontierAgricultureContextual variable0502 economics and businessEconomicsProduction (economics)050207 economicsbusinessLand reformParametric statisticsApplied Economics
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Residual-based block bootstrap for cointegration testing

2010

We propose a new testing procedure to determine the rank of cointegration. This new method is based on the nonparametric resampling procedure, so-called Residual-Based Block Bootstrap (RBB), which is developed by Paparoditis and Politis (2003) in the context of unit root testing. Through Monte Carlo experiments we show that, in small samples, the RBB cointegration test has good power properties in relation to the other two well-known tests for cointegration, such as the Augmented Dickey–Fuller (ADF), applied to the residual of a cointegrating regression, and the Johansen's maximum eigenvalue tests. Likewise, this article looks at the influence played by the correlation of the ‘X’ variables …

Economics and EconometricsCointegrationResamplingMonte Carlo methodStatisticsEconometricsNonparametric statisticsContext (language use)ResidualJohansen testRegressionMathematicsApplied Economics Letters
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Productivity Polarization and Sectoral Dynamics in European Regions

2007

Abstract We show that the distribution dynamics of productivity in European regions displays polarization with a nonlinear growth path. We investigate the factors explaining this behavior focusing in particular on sectoral composition. The β -convegence analysis reveals that initial shares of Manufacturing and Other Market Services have a nonlinear impact on growth, while spatial effects are not statistically significant. By decomposing the dynamics of aggregate productivity in terms of sectoral dynamics, we show that productivity in Manufacturing, Non Market Services, and Other Market Services does not converge, for the complex interaction of technological spillovers and specialization eff…

Economics and EconometricsDistribution dynamicbusiness.industryConditional convergencePolarization (politics)Distribution (economics)Aggregate productivitySectoral analysisNonparametric methodSpecialization (functional)EconomicsEconometricsSectoral analysisConditional convergenceDistribution dynamics; Conditional convergence; Nonparametric methods; Sectoral analysisbusinessProductivity
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Directional distance functions and environmental regulation

2005

Abstract In this paper we use directional technology distance functions to evaluate the impact of environmental regulations on firms’ performance. Following Fare et al. [Fare, R., Grosskopf, S., Lovell, C.A.K., Pasurka, C., 1989. Multilateral productivity comparisons when some outputs are undesirable: a nonparametric approach. The Review of Economics and Statistics 71, 90–98.], we construct an index that measures opportunity costs for individual firms arising from regulations that prevent free disposal of wastes. The methodology is applied to a sample of Spanish producers of ceramic pavements. We assume that firms maximise desirable output simultaneously reducing inputs, with no change in t…

Economics and EconometricsOpportunity costIndex (economics)Operations researchNonparametric statisticsEconomicsProduction (economics)Sample (statistics)Environmental regulationEconomic impact analysisProductivityIndustrial organizationResource and Energy Economics
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Estimating Engel curves under unit and item nonresponse

2010

SUMMARY This paper estimates food Engel curves using data from the first wave of the Survey on Health, Aging and Retirement in Europe (SHARE). Our statistical model simultaneously takes into account selectivity due to unit and item nonresponse, endogeneity problems, and issues related to flexible specification of the relationship of interest. We estimate both parametric and semiparametric specifications of the model. The parametric specification assumes that the unobservables in the model follow a multivariate Gaussian distribution, while the semiparametric specification avoids distributional assumptions about the unobservables. Copyright © 2011 John Wiley & Sons, Ltd.

Economics and EconometricsSettore SECS-P/05 - EconometriaStatistical modelMultivariate normal distributionUnit (housing)Engel curve Unit nonresponse Item nonresponse Endogeneity semiparametric estimationEngel curveStatisticsEconomicsEconometricsStatistics::MethodologyEndogeneitySocial Sciences (miscellaneous)Parametric statistics
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