Search results for "Linear mixed model"

showing 6 items of 36 documents

The Performance of the Gradient-Like Influence Measure in Generalized Linear Mixed Models

2015

A gradient-like statistic, recently introduced as an influence measure, has been proven to work well in large sample, thanks to its asymptotic properties. In this work, through small-scale simulation schemes, the performance of such a diagnostic measure is further investigated in terms of concordance with the main influence measures used for outlier identification. The simulation studies are performed by using generalized linear mixed models (GLMMs).

Work (thermodynamics)Identification (information)GLMM outliers diagnostics gradient statisticOutlierEconometricsApplied mathematicsSettore SECS-S/01 - StatisticaMeasure (mathematics)StatisticGeneralized linear mixed modelMathematicsLarge sample
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Food for flight: pre-migratory dynamics of the Lesser Kestrel Falco naumanni.

2014

Capsule The post-reproductive stage of Lesser Kestrel is crucial for migratory fuelling and survival. Aims To describe the summer pre-migratory ecology of the Lesser Kestrel in Sicily and review existing data in Southern Europe. Methods We identified the main summer roosts and then made roost counts every ten days from 2010 to 2012. We used case-sensitive modelling procedures to detect biases in counts (generalized linear mixed models), assess the annual population trends from 2005 to 2012 (TRends and Indices for Monitoring); and to model habitat preferences (generalized linear model). We sampled pellets to describe the birds’ diet during the peak month prior to migration. Results We discov…

education.field_of_studybiologyEcologyPopulationSettore BIO/05 - ZoologiaFalco naumanniZoologyKestrelbiology.organism_classificationGeneralized linear mixed modelGeographyDiet Grylloderes brunnri Sicily Italy Migration BreedingSettore AGR/11 - Entomologia Generale E ApplicataHabitateducationEcology Evolution Behavior and SystematicsNature and Landscape Conservation
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Item Response Trees: a recommended method for analyzing categorical data in behavioral studies

2015

Behavioral data are notable for presenting challenges to their statistical analysis, often due to the difficulties in measuring behavior on a quantitative scale. Instead, a range of qualitative alternative responses is recorded. These can often be understood as the outcome of a sequence of binary decisions. For example, faced by a predator, an individual may decide to flee or stay. If it stays, it may decide to freeze or display a threat and if it displays a threat, it may choose from several alternative forms of display. Here we argue that instead of being analyzed using traditional nonparametric statistics or a series of separate analyses split by response categories, this kind of data ca…

escalationpredator-prey interactionsBiologyMachine learningcomputer.software_genreGeneralized linear mixed modelSoftwareethologyrepeatabilityCategorical variableEcology Evolution Behavior and Systematicsbehavioral analysisSequenceta112business.industryScale (chemistry)Nonparametric statisticsRitem response theoryresponse treesOutcome (probability)ordinal dataRange (mathematics)ta1181Animal Science and Zoologycategorical dataArtificial intelligencebusinesscomputerGLMMBehavioral Ecology
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Ensemble methods for ranking data with and without position weights

2020

The main goal of this Thesis is to build suitable Ensemble Methods for ranking data with weights assigned to the items’positions, in the cases of rankings with and without ties. The Thesis begins with the definition of a new rank correlation coefficient, able to take into account the importance of items’position. Inspired by the rank correlation coefficient, τ x , proposed by Emond and Mason (2002) for unweighted rankings and the weighted Kemeny distance proposed by García-Lapresta and Pérez-Román (2010), this work proposes τ x w , a new rank correlation coefficient corresponding to the weighted Kemeny distance. The new coefficient is analized analitically and empirically and represents the main…

ranking databoostingweighted Kemeny distancebaggingSettore SECS-S/01 - Statisticalinear mixed modelensemble method
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Modelling the relationship between sexual reproduction and rhizome growth in Posidonia oceanica (L.) Delile

2006

The relationship between flowering and growth performance of Posidonia oceanica (L.) Delile in meadows distributed along the south-eastern coast of Sicily (Italy) was investigated by means of a statistical model (generalized linear mixed model) combined with the lepidochronological analysis. Over a 28-year period, 67 floral stalk remains were observed. The highest flowering index was recorded in lepidochronological year 1998 (10.1%) and the Inflorescence Frequency per age showed a clear decrease corresponding to 15-year-old shoots. The sexual reproductive event had positive effects on rhizome elongation (cm year−1) and leaf production (no. leaves year−1) in the same flowering year, whilst n…

sexual reproductionEcologybiologyfungiStress inducedlepidochronologyPosidonia oceanicafood and beveragesAquatic Sciencebiology.organism_classificationshoot ageRhizomeSexual reproductionInflorescencegeneralized linear mixed modelPosidonia oceanicaShootBotanyEcology Evolution Behavior and SystematicsMarine Ecology
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Small area estimation with linear mixed models from unit-level panel and rotating panel data

2009

small area estimationlinear mixed model
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