Search results for "STATISTICS"

showing 10 items of 7671 documents

Wymuszenie rozbójnicze i rozbiór - analiza znamion czynów zabronionych na tle statystyk sądowych

2018

Artykuł poddaje analizie kontrowersyjne zagadnienie różnic występujących pomiędzy przestępstwem wymuszenia rozbójniczego a rozbojem. W rozważaniach odniesiono się do doktryny oraz orzecznictwa wskazując na liczne wątpliwości pojawiające się w tej materii. Podjęto również próbę wyznaczenia granic jakie dzielą te przestępstwa. W części drugiej odniesiono się do statystyk sądowych obrazujących dynamikę czynu zabronionego wymuszenia rozbójniczego. W szczególności zaprezentowano dane dotyczące liczby przestępstw wszczętych oraz stwierdzonych porównując je również z przestępstwem rozboju. Wskazano nadto liczbę prawomocnych przestępstw z art. 282 k.k. z uwzględnieniem płci oraz wieku sprawców.

jurisprudencerate of change in the incidence of extortiondynamika przestępstwa wymuszenia rozbójniczego.rozbójdoctrineprawo karnerobberystatisticsextortionwymuszenie rozbójniczeorzecznictwodoktrynacriminal lawstatystyka sądowaPROBACJA
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A Scale of Knowledge and Beliefs about Developmental Dyslexia: Scale Development and Validation

2014

Abstract The purpose of this study was to create and validate a scale measuring knowledge and beliefs regarding developmental dyslexia. A four-step procedure was followed to achieve this objective. A literature review generated a preliminary pool of 65 items. A group of 12 university teachers of learning disabilities read the items for content and face validity and offered comments. Based on their comments, some items were combined, and confusing items were changed or eliminated, which left a scale of 50 items, with the response options of true (V), false (F) or dont know (NS). Later, each participant, using a description of the scales, placed each item into one of the three subscales. An i…

knowledgeScale (ratio)Sample (material)educationDyslexiamedicine.diseasebehavioral disciplines and activitiesDevelopmental psychologyDyslexiascaleCronbach's alphaLearning disabilitymedicineDevelopmental dyslexiabeliefsGeneral Materials Sciencemedicine.symptommisconceptionsPsychologyReliability (statistics)Clinical psychologyFace validityProcedia - Social and Behavioral Sciences
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Interpreting the decomposition of gender earnings gap

2010

In this paper we discuss a decomposition of the gender monthly earnings differential into three components: the first is due to differences in individual characteristics, the second is due to discrimination and the last to the differential in hours worked. The Oaxaca-Blinder hourly wage decomposition is perfectly integrated into the decomposition of the monthly earnings gap. In order to evaluate the effects of this components on the monthly earnings gap, we calculate counterfactual earnings gaps, estimating what would happen if various aspects relating to the two genders were equal (for example, educational level), and then we compare these with the empirical earnings gap. The aim of the co…

labor statistics gender pay gap Oaxaca-Blinder decomposition counterfactual measures
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Recurrence time distribution and temporal clustering properties of a cellular automaton modelling landslide events

2018

Abstract. Reasonable prediction of landslide occurrences in a given area requires the choice of an appropriate probability distribution of recurrence time intervals. Although landslides are widespread and frequent in many parts of the world, complete databases of landslide occurrences over large periods are missing and often such natural disasters are treated as processes uncorrelated in time and, therefore, Poisson distributed. In this paper, we examine the recurrence time statistics of landslide events simulated by a cellular automaton model that reproduces well the actual frequency-size statistics of landslide catalogues. The complex time series are analysed by varying both the threshold…

landslideFano factorSeries (mathematics)probabilityCrossoverlcsh:QC801-809modelingLandslidePoisson distributionCellular automatonlcsh:QC1-999Physics::Geophysicstemporal analysisymbols.namesakelcsh:Geophysics. Cosmic physicsStatisticssymbolsProbability distributionlcsh:Qcellular automatonlcsh:ScienceWeibull theoryGeologylcsh:PhysicsWeibull distributionNonlinear Processes in Geophysics
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The Latent Factors Behind the Urban Travel Behaviour

2014

Abstract This research aims to explore the impact of latent variables, mirroring the users’ preferences, on the individual decision making process regarding the mode of transport. The paper describes the first results of an ongoing research activity, which derives from a pilot study carried out in Palermo. The authors have administered to a sample of travellers a questionnaire and they simulated the mode choice behaviour referring to the random utility theory. Then the transport demand over the entire area of Palermo has been studied in order to design the cordon pricing scenario with the application of an additional cost on private car dedicated to a selected area of the historic centre of…

latent variablesOperations researchbusiness.industrylatent variables mode choice stated preference cordon pricing.Sample (statistics)Latent variablemode choiceSettore ICAR/05 - TrasportiOrder (exchange)Public transportEconomicsGeneral Materials ScienceRoad pricingcordon pricingDecision-makingMarketingbusinessMode choicestated preferenceMirroringProcedia - Social and Behavioral Sciences
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CHOOSING OF OPTIMAL REFERENCE SAMPLES FOR BOREAL LAKE CHLOROPHYLL A CONCENTRATION MODELING USING AERIAL HYPERSPECTRAL DATA

2018

Abstract. Optical remote sensing has potential to overcome the limitations of point estimations of lake water quality by providing spatial and temporal information. In open ocean waters the optical properties are dominated by phytoplankton density, while the relationship between color and the constituents is more complicated in inland waters varying regionally and seasonally. Concerning the difficulties relating to comprehensive modeling of complex inland and coastal waters, the alternative approach is considered in this paper: the raw digital numbers (DN) recorded using aerial remote hyperspectral sensing are used without corrections and derived by means of regression modeling to predict C…

lcsh:Applied optics. Photonics010504 meteorology & atmospheric scienceshyperspectral imagingwater quality monitoringchlorophyll a0211 other engineering and technologies02 engineering and technologylcsh:Technology01 natural sciencesStandard deviationPhytoplanktonPredictabilityCluster analysis021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensinglcsh:Tlcsh:TA1501-1820Hyperspectral imagingSampling (statistics)Statistical modelRegression analysislake water coloraerial remote sensinglcsh:TA1-2040Environmental sciencelcsh:Engineering (General). Civil engineering (General)The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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SCAN-TO-BIM FOR THE MANAGEMENT OF HERITAGE BUILDINGS: THE CASE STUDY OF THE CASTLE OF MAREDOLCE (PALERMO, ITALY)

2020

Abstract. Conservation and preservation of heritage buildings require the knowledge and sharing of a great deal of data and information about buildings. Such information comes from the different disciplines involved in the restoration and maintenance processes. The integration and use of all this information in a single working environment is a key factor for the success of historical building conservation and management projects. Heritage (or Historic) Building Information Modelling (HBIM) is nowadays the most appropriate tool to collect and manage all data related to Architectural Heritage. The HBIM process requires an in-depth knowledge of the historical building that can be achieved usi…

lcsh:Applied optics. Photonics3D modelling HBIM Laser scanner Point cloud Scan-to-BIMEngineeringArchitectural engineeringProcess (engineering)Settore ICAR/10 - Architettura Tecnica02 engineering and technologylcsh:Technology01 natural sciencesArchitectural heritage0202 electrical engineering electronic engineering information engineeringParametric modellingParametric statisticslcsh:Tbusiness.industry010401 analytical chemistrylcsh:TA1501-18200104 chemical sciencesBuilding information modelingWork (electrical)lcsh:TA1-2040Settore ICAR/17 - Disegno020201 artificial intelligence & image processinglcsh:Engineering (General). Civil engineering (General)businessSettore ICAR/06 - Topografia E CartografiaWorking environmentThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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MODELLING VAGUE KNOWLEDGE FOR DECISION SUPPORT IN PLANNING ARCHAEOLOGICAL PROSPECTIONS

2012

Abstract. Most archaeological predictive models lack significance because fuzziness of data and uncertainty in knowledge about human behaviour and natural processes are hardly ever considered. One possibility to cope with such uncertainties is utilization of probability based approaches like Bayes Theorem or Dempster-Shafer-Theory. We analyzed an area of 50 km2 in Rhineland Palatinate (Germany) near a Celtic oppidum by use of Dempster-Shafer's theory of evidence for predicting spatial probability distribution of archaeological sites. This technique incorporates uncertainty by assigning various weights of evidence to defined variables, in that way estimating the probability for supporting a …

lcsh:Applied optics. PhotonicsDecision support systemGeographic information systemSettlement (structural)Computer sciencebusiness.industryProcess (engineering)lcsh:TDistribution (economics)lcsh:TA1501-1820computer.file_formatArchaeologylcsh:TechnologyBayes' theoremlcsh:TA1-2040StatisticsRaster graphicsbusinesslcsh:Engineering (General). Civil engineering (General)computerSelection (genetic algorithm)ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Image-based and range-based 3D modelling of archaeological cultural heritage: The telamon of the temple of Olympian Zeus in Agrigento (Italy)

2012

Abstract. The Temple of Olympian Zeus in Agrigento (Italy) was one of the largest temple and at the same time one of the most original of all the Greek architecture. We don’t know exactly how it was because the temple is now almost completely destroyed but it is very well-known for the presence of the Telamons. The Telamons were giant statues (about 8 meters high) probably located outside the temple to fill the interval between the columns. In accordance with the theory most accredited by archaeologists the Telamons were a decorative element and also a support for the structure. However, this hypothesis has never been scientifically proven. One Telamon has been reassembled and is shown at t…

lcsh:Applied optics. PhotonicsEngineeringbusiness.industrylcsh:Tlcsh:TA1501-1820Fotogrammetria Laser scanning Modelli 3D Beni archeologiciPhotogrammetry Laser scanning 3D Model Archaeological HeritageZeus (malware)Archaeologylcsh:TechnologyCultural heritagemedicine.anatomical_structurePhotogrammetrylcsh:TA1-2040TempleRange (statistics)medicineIBMArchitecturebusinesslcsh:Engineering (General). Civil engineering (General)Settore ICAR/06 - Topografia E CartografiaImage based
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CLUSTERING INCOMPLETE SPECTRAL DATA WITH ROBUST METHODS

2018

Abstract. Missing value imputation is a common approach for preprocessing incomplete data sets. In case of data clustering, imputation methods may cause unexpected bias because they may change the underlying structure of the data. In order to avoid prior imputation of missing values the computational operations must be projected on the available data values. In this paper, we apply a robust nan-K-spatmed algorithm to the clustering problem on hyperspectral image data. Robust statistics, such as multivariate medians, are more insensitive to outliers than classical statistics relying on the Gaussian assumptions. They are, however, computationally more intractable due to the lack of closed-for…

lcsh:Applied optics. PhotonicsMultivariate statisticsComputer scienceGaussianCorrelation clusteringRobust statisticsspectral datacomputer.software_genrelcsh:Technologysymbols.namesakeCURE data clustering algorithmImputation (statistics)interpolointiCluster analysisK-meansnan-K-spatmedlcsh:Tk-means clusteringlcsh:TA1501-1820robust statistical methodsMissing dataData setlcsh:TA1-2040OutliersymbolsData mininglcsh:Engineering (General). Civil engineering (General)computerclustering
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