Search results for "measurement errors"

showing 3 items of 3 documents

Sexing birds using discriminant function analysis: a critical appraisal.

2011

9 pages; International audience; Discriminant function analysis (DFA) based on morphological measurements is a quick, inexpensive, and efficient method for sex determination in field studies on cryptically monomorphic bird species. However, behind the apparent standardization and relative simplicity of DFA lie subtle differences and pitfalls that have been neglected in some studies. Most of these concerns directly affect assessment of the discriminant performance, a parameter of crucial importance in practice because it provides a measure of the quality of an equation that may be used in later field studies. Using results from 141 published studies and simulations based on a large data set …

0106 biological sciencesZenaida auritaZenaida auritaZenaida dovesSexing[SDV.BID]Life Sciences [q-bio]/Biodiversitysample size effect010603 evolutionary biology01 natural sciencescross-validationCross-validation010605 ornithologyDiscriminant function analysisStatisticsEcology Evolution Behavior and Systematics[ SDV.BID ] Life Sciences [q-bio]/Biodiversity[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[STAT.AP]Statistics [stat]/Applications [stat.AP]biology[ STAT.AP ] Statistics [stat]/Applications [stat.AP]biology.organism_classificationmorphological measurementsDFADiscriminantSample size determinationsexual dimorphismAnimal Science and Zoology[SDE.BE]Environmental Sciences/Biodiversity and EcologyJackknife resamplingmeasurement errors
researchProduct

Sensitivity of the SIMulation-EXtrapolation (SIMEX) methodology to mis-specification of the statistical properties of the measurement errors

2023

In hydrometeorological and environmental studies, it is common to seek relations between two variables (predictand and predictor), one of which (predictor) is affected by uncertainties. These errors unavoidably affect the results of the analyses by providing erroneous estimates of the parameters of the predictor-predictand model. A possible solution is represented by the SIMulation-EXtrapolation (SIMEX) methodology. This approach follows two steps: (1) perturbation of the predictor with increasing levels of uncertainties (multiples of the known error variance); and (2) finding a relation between the model's parameters and level of uncertainty, which allows their extrapolation to the error-f…

Atmospheric ScienceSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSIMEX measurement errors
researchProduct

Development of an individualized familiarization method for vertical jumps

2013

OBJETIVO: Propor um método de familiarização individualizado para saltos verticais e verificar o seu efeito na variabilidade intrassujeito. MÉTODOS: Cinquenta e três homes (média ± DP; idade 23,5 ± 3,3 anos; estatura 1,76 ± 0,08 m; massa 72,8 ± 8,6 kg; percentual de gordura 12,9 ± 5,2%) realizaram sucessivos saltos até atingir o nível de estabilidade proposto. Após 48 h este processo era repetido e a estabilidade entre dias era verificada, se necessário, mais sessões eram realizadas. O nível de estabilidade foi determinado por um teste z, com intervalo de confiança de 95%. Após o processo de familiarização, duas sessões experimentais adicionais foram realizadas para determinar a confiabilid…

erro de mediçãoexercisebusiness.industryestudos metodológicosCoefficient of variationoutcome measurement errorsexercícioPhysical Therapy Sports Therapy and RehabilitationconfiabilidadeConfidence intervalStandard errorSquat jumpreliability of resultsmethodological studyCountermovement jumpPerformance monitoringOrthopedics and Sports Medicinelcsh:Sports medicineNuclear medicinebusinesslcsh:RC1200-1245MathematicsRevista Brasileira de Medicina do Esporte
researchProduct