Search results for " copula"

showing 10 items of 17 documents

Paternal age negatively affects sperm production of the progeny.

2021

International audience; Parental age has profound consequences for offspring’s phenotype. However, whether patrilineal age affects offspring sperm production remains unknown, despite the importance of sperm production for male reproductive success in species facing post-copulatory sexual selection. Using a longitudinal dataset on ejaculate attributes of the houbara bustard, we showed that offspring sired by old fathers had different age-dependent trajectories of sperm production compared to offspring sired by young fathers. Specifically, they produced less sperm (−48%) in their first year of life, and 14% less during their lifetime. Paternal age had the strongest effect, with weak evidence …

0106 biological sciencesMaleAgingOffspring010603 evolutionary biology01 natural sciencesPaternal Age[SDV.BDLR.RS]Life Sciences [q-bio]/Reproductive Biology/Sexual reproductionejaculate qualityBirdsReproductive senescencereproductive senescence[SDV.BA.ZV]Life Sciences [q-bio]/Animal biology/Vertebrate ZoologyAnimalsBustardEcology Evolution Behavior and Systematicsreproductive and urinary physiologybiologyReproductive successEcology010604 marine biology & hydrobiologyReproductionbiology.organism_classificationSpermSpermatozoamale gametesAgeingSexual selectionpost copulatory sexual selectionSpermatogenesisDemographyoffspring phenotypeEcology lettersReferences
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Pair-bonding in birds and the active role of females: a critical review of the empirical evidence.

2000

Over the recent years the role of females in maintaining or breaking the pair-bond in socially monogamous birds has received growing attention. Here, we review the overall evidence for a direct and predominant role of female behaviour in initiating or preventing divorce and its relevance for the understanding of both interspecific and intraspecific variation in divorce rate in monogamous bird species. The evidence is so far limited to a few species. We discuss the relevance of some alternative explanations and confounding factors. We conclude that the possible predominance of females in both initiating divorce or limiting its occurrence deserves further consideration. Future studies should …

Behavioral NeuroscienceFuture studiesConfoundingRelevance (law)Animal Science and ZoologyExtra-pair copulationGeneral MedicineInterspecific competitionEmpirical evidencePsychologySocial relationIntraspecific competitionDevelopmental psychologyBehavioural processes
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Probabilistic characterization of flood hazard using bivariate analysis based on copulas

2014

This study presents an innovative approach to obtain flood hazard maps where hydrological input (synthetic flood design event) to a 2D hydraulic model has been defined by generating flood peak discharges and volumes from a bivariate statistical analysis, through the use of copulas. Synthetic hydrographs were generated by means two different approaches: an indirect one, where rainfall were generated by a stochastic bivariate rainfall generator to be entered a distributed conceptual rainfall-runoff model that consisted of a soil moisture routine and a flow routing routine; and a direct one, where stochastic generation of flood peaks and flow volumes have been obtained via copulas, which descr…

Computer scienceStatisticsSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaProbabilistic logicEconometricsFlood hazard copulas bivariate analysisFlood hazardBivariate analysis
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Sexual and postmating reproductive isolation between allopatric Drosophila montana populations suggest speciation potential

2011

This work was funded by a European Commission Research Training Grant RTN2-2001-00049, the Centre of Excellence for Evolutionary Research at the University of Jyväskylä and a Marie Curie Initial Training Network, ‘Understanding the evolutionary origin of biological diversity’ (ITN-2008-213780 SPECIATION) Background: Widely distributed species with populations adapted to different environmental conditions can provide valuable opportunities for tracing the onset of reproductive incompatibilities and their role in the speciation process. Drosophila montana, a D. virilis group species found in high latitude boreal forests in Nearctic and Palearctic regions around the globe, could be an excellen…

Male0106 biological sciencesSympatryCanadaGenetic SpeciationEvolutionQH301 BiologyAllopatric speciationBiologyPremating isolationCourtship song010603 evolutionary biology01 natural sciencesEcological speciationDivergence03 medical and health sciencesQH301Hybrid zoneMelanogasterGenetic algorithmQH359-425AnimalsPatternsSelectionFinlandEcology Evolution Behavior and Systematics030304 developmental biologyIncipient speciation0303 health sciencesEcologyReproductionReproductive isolationMating Preference AnimalIncipient speciationReinforcementFertilityGenetics PopulationPhenotypeGenetic SpeciationEvolutionary biologyPerspectiveDrosophilaFemaleSexual Selection; Reproductive Barrier; Sexual Conflict; Cross Type; Copulation DurationResearch ArticleBMC Evolutionary Biology
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The Dynamics of Quote Prices in an Artificial Financial Market with Learning Effects

2007

In this paper we study the evolution of bid and ask prices in an electronic financial market populated by portfolio traders who optimally choose their allocation strategy on the basis of their views about market conditions. Recently, a growing literature has investigated the consequences of learning about the returns process1. There has been an increasing interest in analyzing what are the implications of relaxing the assumption that agents hold correct expectations. In particular, it has been asked the fundamental question of understanding if typical asset-pricing anomalies (like returns predictability, and excess volatility) can be generated by a learning process about the underlying econ…

Mark to modelMicroeconomicsFinancial economicsfinancial market market volatility learning process copula function portfolio optimizationFinancial marketMarket systemOrder bookPortfolioBusinessPortfolio optimizationVolatility (finance)Market liquidity
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Nouvelles données sur les Asellidae épigés d’Extrême-Orient (Crustacea, Isopoda, Asellota)

1995

Numerous samples of oculate Asellus from eastern Siberia and the Japanese Islands, one from southern China, and one from Alaska, have been studied. The epigean fresh waters of this large Asiatic region generally harbour populations identified as Asellus (Asellus) hilgendorfii Bovallius, 1886, or some of its geographical forms previously considered as species, subspecies, or not yet named. The “hilgendorfii” complex seems to possess the dimension of a superspecies. A new pigmented-oculate species, Asellus (Asellus) levanidovorum is sympatric with A. (A.) hilgendorfii in the lake Bolon region (lower part of the Amur River basin) and is present also in the Sakhalin and Kunashir Islands. Its co…

Mediterranean climateAppendageAsellusbiologySakhalin and Kunashir IslandsZoologysubgen. Asellusgen. Asellus n. def.Subspeciesstructure of copulatory pleopodssubgen. Arctasellus novbiology.organism_classificationAsellus (Asellus) levanidovorum n. sp.GeographyGenusSympatric speciationSEMAsellidaeGeneral Earth and Planetary SciencesSubgenusGeneral Environmental ScienceBijdragen tot de Dierkunde
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Probabilistic Flood Hazard Mapping Using Bivariate Analysis Based on Copulas

2017

This study presents a methodology to extract probabilistic flood hazard maps in an area subject to flood risk, taking into account uncertainties in the definition of design hydrographs. Particularly, the authors present a new method to produce probabilistic inundation and flood hazard maps in which the hydrological input (i.e., synthetic flood design event) to a 2D hydraulic model has been obtained by using a bivariate statistical analysis (copulas) to generate flood peak discharges and volumes. This study also aims to quantify the contribution of boundary conditions’ uncertainty in order to evaluate the effect of this uncertainty source on probabilistic flood hazard mapping. Different comb…

Multivariate statisticsFlood myth0208 environmental biotechnologyCopula (linguistics)Settore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaProbabilistic logicHydrograph02 engineering and technologyBuilding and ConstructionBivariate analysisFlood Risk Mapping020801 environmental engineeringRisk managementFlood hazard mapping100-year floodStatisticsEconometricsEnvironmental scienceFlood risk and hazard mapping; Uncertainty analysis; Copula; Sicily.Uncertainty analysisSafety Risk Reliability and QualityUncertainty analysisCivil and Structural Engineering
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Extra-pair paternity and male characteristics in the pied flycatcher

1995

The pied flycatcher (Ficedula hypoleuca) is sexually dichromatic with extreme variation in male plumage coloration. The benefit for males of having black plumage is controversial, and few studies have found evidence for a sexual selection benefit of being black rather than brown. However, blacker males may be better able to achieve extra-pair fertilizations (EPFs), which may be an important component of sexual selection. We studied the role of EPFs in sexual selection in the pied flycatcher by establishing a set-up where two males with different back coloration (blacker vs browner) bred simultaneously near each other. DNA fingerprinting analysis revealed that 11% of offspring resulted from …

OffspringEcologymedia_common.quotation_subjectOutbreeding depressionFicedulaZoologyBiologybiology.organism_classificationAnimal ecologyPlumageSexual selectionAnimal Science and ZoologyExtra-pair copulationReproductionEcology Evolution Behavior and Systematicsmedia_commonBehavioral Ecology and Sociobiology
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Multivariate statistical analysis for water demand modelling: implementation, performance analysis, and comparison with the PRP model

2015

Water demand is the driving force behind hydraulic dynamics in water distribution systems. Consequently, it is crucial to accurately estimate the actual water use to develop reliable simulation models. In this study, copula-based multivariate analysis was proposed and used for demand prediction for a given return period. The analysis was applied to water consumption data collected in the water distribution network of Palermo (Italy). The approach produced consistent demand patterns and could be a powerful tool when coupled with water distribution network models for design or analysis problems. The results were compared with those obtained using a classical water demand model, the Poisson re…

Return periodAtmospheric ScienceEngineeringMultivariate statisticsMultivariate analysisDemand patterns0208 environmental biotechnology02 engineering and technologyPoisson distributionCopula (probability theory)Vine copulasymbols.namesakeStatisticsEconometricsmultivariate analysiwater demand modellingCivil and Structural EngineeringWater Science and Technologybusiness.industryGeotechnical Engineering and Engineering Geology020801 environmental engineeringvine copulasymbolsPoisson rectangular pulse modelbusinessWater useJournal of Hydroinformatics
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Multivariate Statistical Analysis for Water Demand Modeling

2014

The actual level of water demand is the driving force behind the hydraulic dynamics in water distribution systems. Consequently, it is crucial to estimate it as accurately as possible in order to result in reliable simulation models. In this paper, a copula-based multivariate analysis has been proposed and used for demand prediction for given return period. The analysis is applied to water consumption data collected in the water distribution network of Palermo (Italy). The approach showed to produce consisted demand patterns and to be a powerful tool to be coupled with water distribution network models for design or analysis problems. (C) 2014 Published by Elsevier Ltd.

Return periodMultivariate analysisMultivariate analysiDemand patternsSimulation modelingGeneral Medicinewater demand modeling.Copula (probability theory)Water demandVine copulaMultivariate analysisvine copulaStatisticsEconometricsEnvironmental scienceMultivariate statisticalEngineering(all)water demand modelingProcedia Engineering
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