Search results for "average"

showing 10 items of 238 documents

Effect of Software on CSP Performance

2009

In order to verify how (if at all) CSP's investments in software affect their business performance, the relationship between (i) CSP's spending on software and (ii) its key performance indicators (KPIs) is considered below. The investments in software are represented by internal, external, and total software spending a year or two years prior to the KPI values, while the KPIs include average revenue per user (ARPU), revenue, net income, EBIDTA, and change in revenue (as an indicator of company growth). Besides, Opex and Capex along with R&D expenses are used as control variables. We use the data collected for the years 2004–2007 (revenue, net income, EBITDA, market capitalization, R&D, CAPE…

Market capitalizationNet incomeEconometricsControl variableRevenueAverage revenue per userRegression analysisBusinessPerformance indicatorOperating expense
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On the evolution of monopoly pricing in Internet-assisted search markets

2014

This study examines the evolution of prices in markets with Internet price-comparison search engines. The empirical study analyzes laboratory data of prices available to informed consumers, for two industry sizes and two conditions on the sample (complete and incomplete). Distributions are typically bimodal. One of the two modes of distribution, corresponding to monopoly pricing, tends to attract such pricing strategies increasingly over time. The second one, corresponding to interior pricing, follows a decreasing trend. Monopoly pricing can serve as a means of insurance against more competitive (but riskier) behavior. In fact, experimental subjects who initially earn low profits due to int…

MarketingAverage cost pricingInternet Economics price-comparison search engines mixed strategy equilibria experimental economicsPsychological pricingFinancial economicsConsumption-based capital asset pricing modeljel:L1MicroeconomicsInvestment theoryPricing strategiesjel:L4Variable pricingjel:D0Economicsjel:D2Rational pricingMonopoly
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Aggregation methods to calculate the average price

2015

Abstract Average price is a numerical value that represents a set of prices, which may relate to firms, countries, or regions. This study presents new methods of average price aggregation that build on the unified aggregation operator (UAO). The UAO combines a wide range of sub-aggregation processes into a single formulation capable of accounting for the importance of each concept in the analysis. The aggregation system is flexible, can adapt to different environments, and provides a complete representation of relevant information. The UAO can calculate the average price for numerous geographical contexts such as supranational regions and countries. The study illustrates the UAO's utility b…

MarketingSet (abstract data type)Operator (computer programming)Average priceValue (economics)EconometricsRange (statistics)EconomicsProduct (category theory)Representation (mathematics)Aggregation methodsJournal of Business Research
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Electrophysiological Correlates of Change Detection during Delayed Matching Task: A Comparison of Different References

2017

Detecting the changed information between memory representation and incoming sensory inputs is a fundamental cognitive ability. By offering the promise of excellent temporal resolution, event-related potential (ERP) technique has served as a primary tool for studying this process with reference of the linked mastoid (LM). However, given that LM may distort the ERP signals, it is still undetermined whether LM is the best reference choice. The goal of the current study was to systematically compare LM, reference electrode standardization technique (REST) and average reference (AR) for assessing the ERP correlates of change detection during a delayed matching task. Colored shapes were adopted …

Matching (statistics)Computer sciencelinked mastoidSensory systemta3112050105 experimental psychologylcsh:RC321-57103 medical and health sciences0302 clinical medicineREST reference0501 psychology and cognitive scienceschange detectionlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryOriginal ResearchParametric statisticsmuisti (kognitio)average referenceRest (physics)ta113business.industryGeneral Neuroscience05 social sciencesPattern recognitionCognitionneurotieteetP2Conjunction (grammar)N270Feature (computer vision)Artificial intelligencebusiness030217 neurology & neurosurgeryChange detectiondelayed matching taskNeuroscienceFrontiers in Neuroscience
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Using Dynamic Light Scattering for Monitoring the Size of the Suspended Particles in Wastewater

2019

Abstract A coherent light scattering experiment on wastewater samples extracted from several stages of water processing within a wastewater processing plant was carried out. The samples were allowed to sediment while they were the subject of a Dynamic Light Scattering (DLS) measurement. The recorded time series were processed using an Artificial Neural Network based DLS procedure to produce the average diameter of the particles in suspension. The method, using a single physical procedure for monitoring the variation of the average diameter in time, indicates the dominant type of suspensions in water.

Materials scienceAverage diameterEcologyScatteringSuspended particlesWater processingSediment010501 environmental sciences01 natural sciencescoherent light scatteringSuspension (chemistry)010309 opticsWastewaterDynamic light scattering0103 physical sciencesBiological systemdynamic light scattering (dls)wastewaterartificial neural networkQH540-549.50105 earth and related environmental sciencesTransylvanian Review of Systematical and Ecological Research
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The Effect of Grain Size of the Stock on Electrical Characteristics of the Li0.03Na0.97Ta0.05Nb0.95O3Perovskite Ceramics

2012

The microstructure and electrical properties of two samples of the ferroelectric Li0.03Na0.97Ta0.05Nb0.95O3 ceramic solid solution prepared from initial charge stocks of different dispersity by conventional ceramics technology are compared. The average size of grains and concentration of pores in the samples are found to be of little difference while the electrical properties of the ceramics are strongly affected by the grain size of the initial mixture. The difference in properties is due to conditions at the diffusion stage of the solid-phase synthesis caused by differences in composition of larger grains rather than the grain size itself.

Materials scienceAverage sizevisual_artDispersityvisual_art.visual_art_mediumCeramicComposite materialCondensed Matter PhysicsMicrostructureFerroelectricityGrain sizeElectronic Optical and Magnetic MaterialsSolid solutionFerroelectrics
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Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces

2014

This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces. Unlike previous approaches that exploit the kernel trick on filtered and then mapped samples, we explicitly define the model recursivity in the Hilbert space. For that, we exploit some properties of functional analysis and recursive computation of dot products without the need of preimaging or a training dataset. We illustrate the feasibility of the methodology in the particular case of the $\gamma$ -filter, which is an infinite impulse response filter with controlled stability and memory depth. Different algorithmic formulations emerge from the signal model. Experiments in chaotic and elect…

Mathematical optimizationComputer Networks and Communications02 engineering and technologyautoregressive and moving-averagekernel methodssymbols.namesakeArtificial Intelligence0202 electrical engineering electronic engineering information engineeringKernel adaptive filterInfinite impulse responseMathematicsfilterrecursiveHilbert space020206 networking & telecommunicationsFilter (signal processing)AdaptiveComputer Science ApplicationsAdaptive filterKernel methodKernel (statistics)symbols020201 artificial intelligence & image processingAlgorithmSoftwareReproducing kernel Hilbert spaceIEEE Transactions on Neural Networks and Learning Systems
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Average flow constraints and stabilizability in uncertain production-distribution systems

2009

We consider a multi-inventory system with controlled flows and uncertain demands (disturbances) bounded within assigned compact sets. The system is modelled as a first-order one integrating the discrepancy between controlled flows and demands at different sites/nodes. Thus, the buffer levels at the nodes represent the system state. Given a long-term average demand, we are interested in a control strategy that satisfies just one of two requirements: (i) meeting any possible demand at each time (worst case stability) or (ii) achieving a predefined flow in the average (average flow constraints). Necessary and sufficient conditions for the achievement of both goals have been proposed by the aut…

Mathematical optimizationStochastic stabilityControl and OptimizationComputer scienceSCHEDULING POLICIESUNKNOWN INPUTSInventory control; Robust controlRobust controlUncertain systemsUncertain demandsManagement Science and Operations ResearchControl strategies; Inventory systems; Uncertain demands; Worst caseStability (probability)Distribution systemMULTI-INVENTORY SYSTEMSControl theoryProduction (economics)Inventory control Robust control Stochastic stabilityAverage costInventory systemsMathematicsInventory controlStochastic processControl strategiesApplied MathematicsWorst caseNETWORKSControllabilityFlow (mathematics)Bounded functionProduction controlRobust controlSettore MAT/09 - Ricerca OperativaMANUFACTURING SYSTEMS
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Bayesian model averaging and weighted-average least squares: Equivariance, stability, and numerical issues

2011

In this article, we describe the estimation of linear regression models with uncertainty about the choice of the explanatory variables. We introduce the Stata commands bma and wals, which implement, respectively, the exact Bayesian model-averaging estimator and the weighted-average least-squares estimator developed by Magnus, Powell, and Prüfer (2010, Journal of Econometrics 154: 139–153). Unlike standard pretest estimators that are based on some preliminary diagnostic test, these model-averaging estimators provide a coherent way of making inference on the regression parameters of interest by taking into account the uncertainty due to both the estimation and the model selection steps. Spec…

Mathematical optimizationWalsBayesian probabilityStability (learning theory)Bayesian analysisSettore SECS-P/05 - EconometriaInferenceBmaBayesian inference01 natural sciencesLeast squares010104 statistics & probabilityMathematics (miscellaneous)st0239 bma wals model uncertainty model averaging Bayesian analysis exact Bayesian model averaging weighted-average least squares0502 economics and businessLinear regressionWeighted-average least squares0101 mathematicsSettore SECS-P/01 - Economia Politica050205 econometrics Mathematicsst0239Exact bayesian model averagingModel selection05 social sciencesEstimatorModel uncertaintyAlgorithmModel averaging
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Performance Measurement and Outperformance Tests

2017

This chapter explains how to evaluate the performance of a trading strategy and how to carry out a statistical test of the hypothesis that a moving average trading strategy outperforms the corresponding buy-and-hold strategy. In particular, it argues that there is no unique performance measure, reviews the most popular performance measures, and points to the limitations of these measures. The chapter then surveys the parametric methods of testing the outperformance hypothesis and the current “state of the art” non-parametric methods.

Measure (data warehouse)Moving averageComputer scienceEconometricsParametric methodsPerformance measurementTrading strategyStatistical hypothesis testing
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