Search results for "multivariate statistic"

showing 10 items of 327 documents

Unveiling the Relationship Between Sea Surface Hydrographic Patterns and Tuna Larval Distribution in the Central Mediterranean Sea

2021

Thunnus thynnus (Atlantic bluefin tuna, ABT) and other tuna species reproduce in the Mediterranean Sea during the summer period. Despite the Central Mediterranean Sea, the Strait of Sicily in particular, being a key spawning site for many tuna species, little is known on the effects of oceanographic variability on their larval distribution in this area. The abundance and presence-absence of larval specimens for three tuna species (ABT, bullet tuna and albacore) were modeled in order to examine their relationships with environmental factors, by analysing historical in situ information collected during seven annual surveys (2010–2016). The results revealed that most tuna larvae for the three …

Mediterranean climateichthyoplanktonSciencespawningOcean EngineeringAquatic ScienceQH1-199.5OceanographyMediterranean seaAuxis rocheiAbundance (ecology)Auxis rochei ichthyoplankton Mediterranean Sea multivariate statistical analysis spawning Thunnus alalunga Thunnus thynnusThunnus alalungaWater Science and Technologymultivariate statistical analysisGlobal and Planetary ChangebiologyAlbacoreQfood and beveragesGeneral. Including nature conservation geographical distributionIchthyoplanktonbiology.organism_classificationOceanographyThunnus thynnusBullet tunaTunahuman activitiesThunnusFrontiers in Marine Science
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THE ROLE OF SUNK COSTS IN THE DECISION TO INVEST IN R&D

2009

We present a dynamic empirical model of a firm's R&D decisions that is consistent with the existence of sunk R&D costs, taking into account that these costs may differ between small and large firms, and among different technological regimes. We estimate a multivariate dynamic discrete choice model using firm-level data of Spanish manufacturing for 1990–2000. Conditional on firm heterogeneity and serially correlated unobservable factors, we find that R&D history matters. This true state dependence allows inferring the existence of sunk R&D costs associated with performing R&D. Sunk R&D costs are found to be higher for large, high-tech firms.

MicroeconomicsEconomics and EconometricsMultivariate statisticsDiscrete choiceAccountingEconomicsState dependenceGeneral Business Management and AccountingUnobservableSunk costsThe Journal of Industrial Economics
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Docking and multivariate methods to explore HIV-1 drug-resistance: a comparative analysis

2007

In this paper we describe a comparative analysis between multivariate and docking methods in the study of the drug resistance to the reverse transcriptase and the protease inhibitors. In our early papers we developed a simple but efficient method to evaluate the features of compounds that are less likely to trigger resistance or are effective against mutant HIV strains, using the multivariate statistical procedures PCA and DA. In the attempt to create a more solid background for the prediction of susceptibility or resistance, we carried out a comparative analysis between our previous multivariate approach and molecular docking study. The intent of this paper is not only to find further supp…

Models MolecularMultivariate statisticsMultivariate analysisAnti-HIV AgentsCombined useHuman immunodeficiency virus (HIV)Computational biologyDrug resistanceBiologyLigandsBioinformaticsmedicine.disease_causeHIV ProteaseMolecular descriptorDrug Resistance ViralDrug DiscoverymedicineHumansDOCKINGPhysical and Theoretical ChemistryBinding SitesHIV Protease InhibitorsSettore CHIM/08 - Chimica FarmaceuticaHIV Reverse TranscriptaseComputer Science ApplicationsDRUG RESISTANCEDocking (molecular)Drug DesignMultivariate AnalysisMutationHIV-1Computer-Aided DesignReverse Transcriptase InhibitorsMultivariate statisticalJournal of Computer-Aided Molecular Design
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Study of the microstructure and efficiency of YSZ-SPS finely structured ceramic coatings

2018

Thanks to the using of liquid carrier, suspension plasma spray (SPS) enables the manufacture of finely structured coatings. As for conventional plasma spraying (APS), the microstructures of SPS coatings can be tailored by controlling the spray conditions. However, SPS is more complicated than APS due to its number of modifiable parameters.This thesis aims to provide a more fundamental understanding of the relationship between SPS process parameters and the properties of YSZ coatings by identifying generic models based on the use of mathematical statistical methods for the study of influence and sensitivity of the individual parameters.Systematic experiments were carried out to study the inf…

Modèle prédictif[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process EngineeringPredictive modelSuspension plasma sprayProjection plasma de suspensionProcess parameterMultivariate statistics analysisParamètre de procédé[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringPorosityMicrostructurePorositéAnalyse statistique multivariée
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A statistical approach towards a regionalization of daily rainfall in Sri Lanka

1993

Regionalization of daily rainfall in Sri Lanka was examined using orthogonal factor analysis (OFA) based on daily rainfall data of 42 stations for a 15-year period (1971–1985). The number of potential rainy days was computed from the original data matrix and subjected to S-mode OFA. The first 10 orthogonal factors were shown as highly significant, explaining 65.1 per cent of the total variance of the whole data matrix, where the level of eigenvalues represented was > 1.0. Noticeably, the 10 orthogonal factors clearly revealed the different homogeneous daily rainfall regions in Sri Lanka (labelled as A to J), according to the orthogonal factor high loadings matrix. Delimitation of the daily …

Monsoon rainfallAtmospheric ScienceHomogeneousClimatologyIntertropical Convergence ZoneElevationSri lankaMonsoonData matrix (multivariate statistics)Factor analysisMathematicsInternational Journal of Climatology
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Multivariate nonparametric tests in a randomized complete block design

2003

AbstractIn this paper multivariate extensions of the Friedman and Page tests for the comparison of several treatments are introduced. Related unadjusted and adjusted treatment effect estimates for the multivariate response variable are also found and their properties discussed. The test statistics and estimates are analogous to the traditional univariate methods. In test constructions, the univariate ranks are replaced by multivariate spatial ranks (J. Nonparam. Statist. 5 (1995) 201). Asymptotic theory is developed to provide approximations for the limiting distributions of the test statistics and estimates. Limiting efficiencies of the tests and treatment effect estimates are found in the…

Multivariate Friedman testStatistics and ProbabilityMultivariate statisticsNumerical AnalysisMultivariate analysisUnivariateNonparametric statisticsMultivariate normal distributionPitman efficiencyRotation invarianceMultivariate analysis of varianceFriedman testAffine invarianceStatisticsTest statisticSpatial rankStatistics Probability and UncertaintyMultivariate Page testMathematicsJournal of Multivariate Analysis
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Diagnosis of damage to Norway spruce (Picea abies) through biochemical criteria

1995

Bioindication can be carried out at different hierarchical levels, eg. cell, organism, and ecosystem. While the monitoring of damage by visible criteria (e.g. loss of needles) is connected with the organism as a whole, the monitoring of damage by biochemical indicators is above all connected with cell metabolism. The degree of vitality of a tree can be ascertained through the integration of a number of biochemical parameters. Furthermore, a differential diagnosis of a particular stress pattern can be carried out because of the feedback pattern of several biochemical indicators. In order to describe and interpret biochemical or physiological changes that have been caused by a number of facto…

Multivariate analysisbiologyPhysiologyEcologyfungifood and beveragesPicea abiesCell BiologyPlant ScienceGeneral MedicineComputational biologybiology.organism_classificationLinear discriminant analysisBiomarker (cell)GeneticsStatistical analysisMultivariate statisticalOrganismPhysiologia Plantarum
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Multivariate factor analysis of Girgentana goat milk composition

2005

The interpretation of the several variables that contribute to defining milk quality is difficult due to the high degree of correlation among them. In this case, one of the best methods of statistical processing is factor analysis, which belongs to the multivariate groups; for our study this particular statistical approach was employed. A total of 1485 individual goat milk samples from 117 Girgentana goats, were collected fortnightly from January to July, and analysed for physical and chemical composition, and clotting properties. Milk pH and tritable acidity were within the normal range for fresh goat milk. Morning milk yield resulted 704 ± 323 g with 3.93 ± 1.23% and 3.…

Multivariate statistics040301 veterinary sciencesVarimax rotation0402 animal and dairy sciencefood and beverages04 agricultural and veterinary sciences040201 dairy & animal scienceBreedGirgentana goat Milk composition Multivariate analysis0403 veterinary scienceSettore AGR/17 - Zootecnica Generale E Miglioramento GeneticoMixed linear modelGirgentana goatAnimal Science and ZoologyComposition (visual arts)lcsh:Animal cultureFood scienceParity (mathematics)lcsh:SF1-1100MathematicsMorningItalian Journal of Animal Science
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Influence Functions and Efficiencies of k-Step Hettmansperger–Randles Estimators for Multivariate Location and Regression

2016

In Hettmansperger and Randles (Biometrika 89:851–860, 2002) spatial sign vectors were used to derive simultaneous estimators of multivariate location and shape. Oja (Multivariate nonparametric methods with R. Springer, New York, 2010) proposed a similar approach for the multivariate linear regression case. These estimators are highly robust and have under general assumptions a joint limiting multinormal distribution. The estimates are easy to compute using fixed-point algorithms. There are however no exact proofs for the convergence of these algorithms. The existence and uniqueness of the solutions also still remain unproven although we believe that they hold under general conditions. To ci…

Multivariate statistics05 social sciencesNonparametric statisticsEstimator01 natural sciencesRegression010104 statistics & probabilityDistribution (mathematics)Bayesian multivariate linear regression0502 economics and businessLinear regressionEconometricsApplied mathematicsUniqueness0101 mathematics050205 econometrics Mathematics
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The Age-Participation Relationship Revised: Focus on Older Adults

1998

This study aims to increase our understanding of how the negative influence of age on participation comes about. The framework used emphasizes human life complexity and human agency in behavior and decision-making. Accordingly, main effects and multiple interaction effects of age and some education and work-related factors on participation were examined. The results show that when the interaction effects are taken into account, the age-participation relationship becomes more complex than previously found in studies focusing only on main effects. It is suggested that research on participation utilize the more advanced options available in multivariate statistics and thus aim at better compa…

Multivariate statisticsAge differencesHuman life05 social sciences050301 education050109 social psychologyEducational attainmentEducationDevelopmental psychologyAdult education0501 psychology and cognitive sciencesPsychology0503 educationSocial psychologyAdult Education Quarterly
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