Search results for "Design of Experiment"

showing 10 items of 49 documents

Design of a university course quality by Teaching Experiments and Student Feedback (TESF)

2009

Quality of the academic system must be constantly monitored, especially under conditions of growing competition and limited resources. Those who are interested in quality, doing research and teaching on it, should ensure quality of the processes for which they are responsible. Teaching is one of the primary services offered by a university. For it, all fundamental principles of Total Quality Management (TQM) must be valid. In this article the authors propose a methodology for designing the quality of a university course, considered as a basic service of a complex educational system. The methodology is based on the concurrent use of teaching experiments performed by a teacher, and the SERVQU…

Self-assessmentService qualityTotal quality managementComputer sciencemedia_common.quotation_subjectstudent satisfactiondesign of experimentContext (language use)self-assessmentGeneral Business Management and Accountingservice qualityCourse (navigation)teaching qualityEngineering managementSERVQUALquality of a university courseComputingMilieux_COMPUTERSANDEDUCATIONQuality (business)Basic serviceSERVQUALmedia_common
researchProduct

Prioritization of the balancing property and full estimability in mixed-level designs

2008

In a recently published work, a new class of Balanced Asymmetrical Nearly Orthogonal Designs (BANOD2) was proposed, which can simultaneously estimate both first and second order effects of all factors, with a limited run size. The motivation for the new class lies in using the balancing property as a necessary precondition for several practical concerns arising in the experimentation field. A balanced design optimizes the use of experimental resources in technological experiments, may avoid misinterpretations in choice experiments of marketing research, and can relieve the experimenter from the arbitrariness in assigning the levels to factors. Furthermore the balancing property assures the …

Settore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaDesign of ExperimentBalanced designOptimal Design
researchProduct

Computer experiments combined with physical Experiments: two experiences in product development

2012

Physical experiments in industrial product development are often very expensive but also necessary sometimes even for safety reasons (think about the crash tests in the automotive industry conducted with new and completely equipped vehicles). Therefore there is a pressing need to reduce this cost as much as possible. Computer experiments may be a viable solution provided that their results are reliable as much as the physical ones. In most of the cases, computer experiments are opportunely combined with physical experiments and the recipe of such mix is interesting itself. In this presentation we will show two cases of combination of physical and computer experiments in product development.…

Settore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaDesign of ExperimentSettore SECS-S/01 - StatisticaComputer Experiments
researchProduct

Advanced Statistical Tools for Six Sigma and other Industrial Applications

Six Sigma is a methodological approach and philosophy for quality improvement in operations management; its main objectives are identifying and removing the causes of defects, and minimizing variability in manufacturing and business processes. To do so, Six Sigma combines managerial and statistical tools, with the creation of a dedicated organizational structure. In this doctoral thesis and the three years of study and research, we have had the purpose to advance the potential applications of the methodology and its tools; with a specific attention on issues and challenges that typically prevent the realization of the expected financial and operational gains that a company pursue in applyin…

Six SigmaDesign of Experiments Small-medium sized enterprisescreening experimentsdecision making
researchProduct

A statistical design of experiments for optimizing the MALDI-TOF-MS sample preparation of polymers. An application in the assessment of the thermo-me…

2011

[EN] The sample preparation procedure for MALDI-TOF MS of polymers is addressed in this study by the application of a statistical Design of Experiments (DoE). Industrial poly (ethylene terephthalate) (PET) was chosen as model polymer. Different experimental settings (levels) for matrixes, analyte/matrix proportions and concentrations of cationization agent were considered. The quality parameters used for the analysis were signal-to-noise ratio and resolution. A closer inspection of the statistical results provided the study not only with the best combination of factors for the MALDI sample preparation, but also with a better understanding of the influence of the different factors, individua…

Solucions polimèriquesEthylenePolymersAnalytical chemistryDegradation kineticsBiochemistryThermo-mechanical degradationSample preparation procedureAnalytical ChemistryMatrix (chemical analysis)chemistry.chemical_compoundDegradationGlycolsMatrix assisted laser desorption ionization time of flight mass spectrometryPolyethylene terephthalateMechanismsCationizationSample preparationRecyclingMechanical recyclingSpectroscopyPriority journalchemistry.chemical_classificationDithranolSignal to noise ratioPolyethylene terephthalateHydrolysisMultiple processingPolymerPoly (ethylene terephthalate)Potential reactionsInjection cyclesMAQUINAS Y MOTORES TERMICOSInductively coupled plasmaSimulationEthersMatrix-assisted laser desorption/ionization time-of-flightQuality parametersDesign of ExperimentsGlycol unitsSample preparationArticleEthyleneEnvironmental ChemistryPolyethylene terephthalatesMALDI TOF MSSignal noise ratioMass spectrometryMatrixTermoplàsticsSignal to noiseTransesterificationDegradation mechanismMatrix-assisted laser desorption/ionizationStatistical design of experimentsTransesterificationchemistryChemical engineeringOligomersDesorptionEthylene glycolControlled studyProcess optimizationAnalytica chimica acta
researchProduct

Assessing the MALDI-TOF MS sample preparation procedure to analyze the influence of thermo-oxidative ageing and thermo-mechanical degradation on poly…

2011

[EN] Multiple processing by means of successive injection cycles was used to simulate the thermo-mechanical degradation effects on the oligomeric distribution of PLA under mechanical recycling. Likewise, an accelerated thermal ageing over PLA glass transition was performed in order to simulate its service life. MALDI-TOF MS was used for the analysis and the sample preparation procedure was assessed by means of a statistical Design of Experiments (DoE). The quality effects in use for the analysis were signal-to-noise ratio and Resolution. Different matrixes, analyte/matrix proportions and the use of NaTFA as cationization agent were considered. A deep inspection of the statistical results pr…

Solucions polimèriquesPolymers and PlasticsGeneral Physics and AstronomyTransesterificationsThermo-mechanical degradationSample preparation procedureMatrix (chemical analysis)DegradationMechanismsMaterials ChemistryCationizationMechanical recyclingSample preparationRepeating unitPoly(lactide)Signal to noise ratioChemistryMultiple processingDesign of Experiments (DoE)AnalytesInjection cyclesPolylactidesMAQUINAS Y MOTORES TERMICOSMatrix-assisted laser desorption/ionization-time-of-flight mass spectrometryGlass transitionDesign of experimentsGlass lasersThermo mechanicalMALDI TOF MSChromatographyMatrixMass spectrometrySignal to noiseTermoplàsticsOrganic ChemistryDegradation mechanismThermo-oxidative ageingStatistical design of experimentsMatrix-assisted laser desorption/ionizationInvestigation methodsMatrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS)Polylactide (PLA)AgeingOligomersDegradation (geology)DesorptionDeep inspectionExperimentsPoly(lactide)European Polymer Journal
researchProduct

A new mathematical approach for the estimation of the AUC and its variability under different experimental designs in preclinical studies

2011

The aim of the present work was to develop a new mathematical method for estimating the area under the curve (AUC) and its variability that could be applied in different preclinical experimental designs and amenable to be implemented in standard calculation worksheets. In order to assess the usefulness of the new approach, different experimental scenarios were studied and the results were compared with those obtained with commonly used software: WinNonlin® and Phoenix WinNonlin®. The results do not show statistical differences among the AUC values obtained by both procedures, but the new method appears to be a better estimator of the AUC standard error, measured as the coverage of 95% confi…

Statistics and ProbabilityComputer scienceDrug Evaluation PreclinicalAdministration Oralcomputer.software_genreSoftwareCiprofloxacinArea under curveVariance estimationAnimalsPharmacology (medical)Rats WistarPharmacologyModels Statisticalbusiness.industryDesign of experimentsEstimatorModels TheoreticalConfidence intervalRatsStandard errorResearch DesignArea Under CurveData miningbusinesscomputerSoftwarePharmaceutical Statistics
researchProduct

Latin hypercube sampling with inequality constraints

2010

International audience; In some studies requiring predictive and CPU-time consuming numerical models, the sampling design of the model input variables has to be chosen with caution. For this purpose, Latin hypercube sampling has a long history and has shown its robustness capabilities. In this paper we propose and discuss a new algorithm to build a Latin hypercube sample (LHS) taking into account inequality constraints between the sampled variables. This technique, called constrained Latin hypercube sampling (cLHS), consists in doing permutations on an initial LHS to honor the desired monotonic constraints. The relevance of this approach is shown on a real example concerning the numerical w…

Statistics and ProbabilityFOS: Computer and information sciencesEconomics and EconometricsMathematical optimizationDesign of Experiments020209 energyMonotonic functionSample (statistics)Mathematics - Statistics Theory02 engineering and technologyStatistics Theory (math.ST)01 natural sciencesStatistics - Computation010104 statistics & probabilityRobustness (computer science)[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Sampling design0202 electrical engineering electronic engineering information engineeringFOS: Mathematics[ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST]0101 mathematicsDependenceUncertainty analysisLatin hypercube samplingComputation (stat.CO)MathematicsApplied MathematicsComputer experimentFunction (mathematics)[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]Computer experiment[ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH]Latin hypercube samplingModeling and SimulationUncertainty analysisSocial Sciences (miscellaneous)Analysis
researchProduct

Lattices and dual lattices in optimal experimental design for Fourier models

1998

Number-theoretic lattices, used in integration theory, are studied from the viewpoint of the design and analysis of experiments. For certain Fourier regression models lattices are optimal as experimental designs because they produce orthogonal information matrices. When the Fourier model is restricted, that is a special subset of the full factorial (cross-spectral) model is used, there is a difficult inversion problem to find generators for an optimal design for the given model. Asymptotic results are derived for certain models as the dimension of the space goes to infinity. These can be thought of as a complexity theory connecting designs and models or as special type of Nyquist sampling t…

Statistics and ProbabilityOptimal designDiscrete mathematicsFactorialApplied MathematicsDesign of experimentsInversion (meteorology)Regression analysisComputational Mathematicssymbols.namesakeFourier transformComputational Theory and MathematicsLattice (order)symbolsApplied mathematicsNyquist–Shannon sampling theoremMathematicsComputational Statistics & Data Analysis
researchProduct

Estimating Mean Lifetime from Partially Observed Events in Nuclear Physics

2022

Abstract The mean lifetime is an important characteristic of particles to be identified in nuclear physics. State-of-the-art particle detectors can identify the arrivals of single radioactive nuclei as well as their subsequent radioactive decays (departures). Challenges arise when the arrivals and departures are unmatched and the departures are only partially observed. An inefficient solution is to run experiments where the arrival rate is set very low to allow for the matching of arrivals and departures. We propose an estimation method that works for a wide range of arrival rates. The method combines an initial estimator and a numerical bias correction technique. Simulations and examples b…

Statistics and ProbabilityPhysicsNuclear physicsdesign of experimentsmissing datanoisy binary searchradioactive decayPoisson processStatistics Probability and Uncertaintyydinfysiikkatilastolliset mallitestimointiradioaktiivisuusJournal of the Royal Statistical Society Series C: Applied Statistics
researchProduct