Search results for "STATISTICS"

showing 10 items of 7671 documents

An appraisal of the fit of a cognitive behavioural model of headache in University students

2018

The aim of this study was to evaluate the fit of a cognitive behavioural model of headache in the population of University students, from Córdoba,Argentina. The direct and indirect contributions to pain intensity of control beliefs, beliefs and thoughts about pain and coping strategies weredetermined, as were the direct contributions of pain behaviours and disability. The sample was comprised of 382 students of both genders fromseveral Universities. Multiple instruments were administered to measure the variables proposed in the cognitive behavioural model of headachefollowed by a descriptive and exploratory analysis of the data. Structural equation modelling was used and revealed an accepta…

education.field_of_study05 social sciencesPopulationChronic pain050109 social psychologyCognitionSample (statistics)General MedicineExploratory analysisVariance (accounting)medicine.diseasePredictive valueStructural equation modeling03 medical and health sciences0302 clinical medicinemedicine0501 psychology and cognitive scienceseducationPsychology030217 neurology & neurosurgeryClinical psychologyJournal of Behavior, Health & Social Issues
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Age-Structured Human Population Dynamics

2006

ABSTRACT A von Foerster-McKendrick model to study age-structured human population dynamics is presented in this paper. Forecasts of population density (population per age unit) depending on ages are possible using this model. The model consists of a quasi-linear first order partial differential equation for the dynamics of population density per age-unit (except for the zero-age), a boundary condition for the births flow at zero-age, and an initial condition for the population density at the initial instant. A general solution independent of the particular human-system under study is obtained based on some hypotheses about the mathematical structure of its input variables. The model has bee…

education.field_of_studyAlgebra and Number TheorySociology and Political SciencePopulationFirst-order partial differential equationPopulation densityHuman population dynamicsFlow (mathematics)StatisticsQuantitative Biology::Populations and EvolutionInitial value problemBoundary value problemMathematical structureeducationSocial Sciences (miscellaneous)MathematicsDemographyThe Journal of Mathematical Sociology
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Natural induction: An objective bayesian approach

2009

The statistical analysis of a sample taken from a finite population is a classic problem for which no generally accepted objective Bayesian results seem to exist. Bayesian solutions to this problem may be very sensitive to the choice of the prior, and there is no consensus as to the appropriate prior to use.

education.field_of_studyAlgebra and Number Theorybusiness.industryApplied MathematicsBayesian probabilityPopulationBayes factorSample (statistics)Machine learningcomputer.software_genreBinomial distributionBayesian statisticsComputational MathematicsEconometricsBayesian hierarchical modelingGeometry and TopologyArtificial intelligencebusinesseducationcomputerAnalysisJeffreys priorMathematicsRevista de la Real Academia de Ciencias Exactas, Fisicas y Naturales. Serie A. Matematicas
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Individual consistency and sex differences in migration strategies of Scopoli’s shearwaters Calonectris diomedea despite year differences

2014

Abstract Recently-developed capabilities for tracking the movements of individual birds over the course of a year or longer has provided increasing evidence for consistent individual differences in migration schedules and destinations. This raises questions about the relative importance of individual consistency versus flexibility in the evolution of migration strategies, and has implications for the ability of populations to respond to climatic change. Using geolocators, we tracked the migrations of Scopoli’s shearwaters Calonectris diomedea breeding in Linosa (Italy) across three years, and analysed timing and spatial aspects of their movements. Birds showed remarkable variation in their …

education.field_of_studyCalonectris diomedeabiologyEcologyPopulationDestinationsAvian migration GLS loggers Repeatability Individual strategiesbiology.organism_classificationGeographySettore AGR/11 - Entomologia Generale E ApplicataConsistency (statistics)Animal Science and ZoologyeducationDemography
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PEMODELAN GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA PERSENTASE KRIMINALITAS DI PROVINSI JAWA TIMUR TAHUN 2017

2020

Crime is everything that exists in Indonesia. Based on BPS data in 2018, East Java Province ranks first in the Province of North Sumatra and the Special Capital Region of Jakarta. This research was conducted to determine the factors that support crime in each Regency / City of East Java Province. The method used in this research is Weighted Geographic Regression (GWR). Geographically Weighted Regression (GWR) is one of the statistical methods used to model variable responses with regional or area-based predictor variables. Based on the GWR results, it is recognized as a variable Population Density Percentage (X1), Open Unemployment Rate (X2), Poor Population (X3), Population who are Victims…

education.field_of_studyCoefficient of determinationJavaPopulationPopulation densityRegressionGeographically Weighted RegressionVariable (computer science)GeographyStatisticsHuman Development Indexeducationcomputercomputer.programming_languageIndonesian Journal of Statistics and Its Applications
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Modeling of female human body shapes for apparel design based on cross mean sets

2014

This paper is concerned with a method to build prototypes of human bodies that can be used for apparel design. One of the most important issues in the apparel development process is to define a sizing system to provide a good fitting for the majority of the population. Since anthropometric measures do not present the same linear growth with size in each dimension, it is very important to find a prototype that represents as accurately as possible each class in the sizing system. In this paper we propose a method based on the concept of random compact mean set to define prototypes in apparel design. From a cloud of 3D points obtained with a 3D scanner a solid that represents the human body is…

education.field_of_studyComputer sciencePopulationGeneral EngineeringClass (philosophy)Sample (statistics)Mean setsHuman bodies prototypescomputer.software_genre3D shapeSizingComputer Science ApplicationsSet (abstract data type)Artificial IntelligenceData miningDimension (data warehouse)educationcomputerRandom compact setsSimulationRealization (probability)Expert Systems with Applications
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Bayesian Hierarchical Models for Random Routes in Finite Populations

1996

In many practical situations involving sampling from finite populations, it is not possible (or it is prohibitely expensive) to access, or to even produce, a listing of all of the units in the population. In these situations, inferences can not be based on random samples from the population. Random routes are widely used procedures to collect data in absence of well defined sampling frames, and they usually have either been improperly analyzed as random samples, or entirely ignored as useless. We present here a Bayesian analysis of random routes that incorporates the information provided but carefully takes into account the non- randomness in the selection of the units.

education.field_of_studyComputer sciencePosterior probabilityPopulationBayesian probabilitySampling (statistics)Conditional probability distributioncomputer.software_genresymbols.namesakesymbolsData miningeducationcomputerSelection (genetic algorithm)RandomnessGibbs sampling
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On sampling error in evolutionary algorithms

2021

The initial population in evolutionary algorithms (EAs) should form a representative sample of all possible solutions (the search space). While large populations accurately approximate the distribution of possible solutions, small populations tend to incorporate a sampling error. A low sampling error at initialization is necessary (but not sufficient) for a reliable search since a low sampling error reduces the overall random variations in a random sample. For this reason, we have recently presented a model to determine a minimum initial population size so that the sampling error is lower than a threshold, given a confidence level. Our model allows practitioners of, for example, genetic pro…

education.field_of_studyDistribution (mathematics)Population sizePopulationStatisticsEvolutionary algorithmInitializationSmall population sizeGenetic programmingeducationConfidence intervalMathematicsProceedings of the Genetic and Evolutionary Computation Conference Companion
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Herramientas estadísticas para resolver contrastes de hipótesis con contenido biológico: su uso en ecología del siglo XXI

2008

Amenudo la formación que han recibido durante la carrera los jóvenes investigadores tiene notables carencias en los aspectos prácticos de diseño experimental, análisis de datos e interpretación de resultados, lo cual limita de manera decisiva el provecho científico futuro de sus actividades. Eso es especialmente cierto en nuestros días, ya que vivimos una revolución importante en el campo de la metodología estadística e incluso en el procedimiento de hacer inferencia (el salto matemático desde las propiedades de nuestra muestra de datos a las de los parámetros desconocidos de la población, nuestro objeto de estudio), que afecta no sólo a los ecólogos sino a muchas otras disciplinas científi…

education.field_of_studyEcology (disciplines)Interpretation (philosophy)PopulationSelection (linguistics)Statistical inferenceSample (statistics)General MedicineNull hypothesiseducationData scienceField (computer science)ACTA ZOOLÓGICA MEXICANA (N.S.)
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Providing insights into browntail moth local outbreaks by combining life table data and semi-parametric statistics

2011

1. Life table studies have been an essential tool for the comprehension of insect population dynamics, although their use has been methodologically biased by a primary focus on mortality factors, especially natural enemies. Thus, studies in natural populations may relegate important mortality sources to the ‘unknown’ or ‘residual’ mortality categories. To overcome this limitation, life tables may be complemented by combining them with other approaches. 2. The aim of the present study was to provide insights into browntail moth Euproctis chrysorrhoea L. (Lepidoptera: Lymantriidae) local outbreaks by combining life table data and statistical modelling. First, E. chrysorrhoea population densit…

education.field_of_studyEcologyEcologyPopulationOutbreakInferenceStatistical modelBiologyResidualPopulation densitySemiparametric modelHabitatInsect ScienceStatisticseducationEcological Entomology
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