environmental covariates
Avian Species-Area Relationships and Environmental Covariates in Natural and Constructed Wetlands of Northeastern Alberta
... 2.2: Relationship between plant and avian species richness and wetland area in natural wetlands...32.. FIG.[r] ...
141
Evaluation of digital soil mapping approaches with large sets of environmental covariates
... DSM approaches used in the past can broadly be grouped into (1) linear regression models (LMs), (2) variants of geostatistical approaches, (3) generalized additive models (GAMs), (4) methods based on single trees like ...
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Tsetse Fly (G f fuscipes) distribution in the Lake Victoria Basin of Uganda
... Trypanosomiasis is a vector-borne disease transmitted to both humans and animals by the tsetse fly. The tsetse vector is distributed across sub-Saharan Africa. Trypanosomiasis maintenance is determined by the ...
15
A Bayesian approach to fitting Gibbs processes with temporal random effects
... considering environmental covariates in the analysis as fixed effects, to model the heterogeneous environment, with a random effect (or hierarchical) component to account for the different observation days ...
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Development of a baited video technique and spatial models to explain patterns of fish biodiversity in inter-reef waters
... Hierarchical vertebrate communities were defined by MRT constrained by the nineteen environmental covariates representing each of the 366 sites. A tree with ten terminal nodes (leaves) was selected to ...
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Bayesian hierarchical modelling of continuous non negative longitudinal data with a spike at zero : an application to a study of birds visiting gardens in winter
... the covariates present in the model are unknown a ...between covariates that are useful predictors of the observed trends in birds visiting ...to environmental covariates have reduced the ...
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A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels
... between environmental covariates and species occurrences is structured among species (Table 2, Fea- ture ...in environmental conditions (Williams and Jack- son 2007, Guisan and Rahbek ...to ...
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Statistical Methods for Human Microbiome Data Analysis
... sequences the bacterial 16S ribosomal RNA gene for species identification. These 16S sequences are usually clustered into Operational Taxonomic Units (OTUs). Analysis of such OTU data raises several important statistical ...
121
Modelling animal movement as Brownian bridges with covariates
... integrate environmental covariates using a spa- tially discrete ...different covariates of move- ment, but it requires regularized trajectories and there is no natural relationship to space use ...
10
Are your covariates under control? How normalization can re introduce covariate effects
... for covariates in ...the covariates may be included in the analysis model after transformation, or alternatively they may be regressed against the response prior to the residuals being transformed to ...for ...
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Statistical inference in a directed network model with covariates
... specific covariates used to define similarity between ...these covariates influence how ties are ...the covariates in order to explain the observed homophily ...
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Modelling the time variant covariates for gait recognition
... it represents subject-dependent covariates. The small database (SDB) consists of a sample of 10 subjects from the LDB. Each subject was filmed wearing a variety of footwear, clothes and carrying various bags. They ...
10
Qml inference for volatility models with covariates
... Table 2: APARCH-X(1,1) models (22) fitted by QMLE on daily returns of US stock with two lagged values of realized volatilities as covariates. The estimated standard deviations are displayed into paren- theses. For ...
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On the Role of Covariates in the Synthetic Control Method
... observed covariates on potential outcomes relative to the assumptions in Abadie et ...the covariates. 1 This may be the case even for covariates that are ...
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Matched Bipartite Block Model with Covariates
... node covariates has been explored in recent work, in the context of unipartite networks (Binkiewicz et ...node covariates, in particular, how to jointly model the covariates on the two sides, ...
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An Experimental Study Evaluating Error Management Training for Learning to Operate a Statistical Package in an Introductory Statistics Course: Is Less Guidance More?
... Developing the ability to operate a statistical package is a valuable student learning outcome in introductory statistics courses. Despite this, very little is known about the development of this specialised skill. This ...
20
Temporal and micro spatial heterogeneity in the distribution of Anopheles vectors of malaria along the Kenyan coast
... Rainfall and maximum temperature from 7 weeks before the start of the study period, in April 2000, to its end in April 2002 are depicted in Figure 3. This timeframe is in accordance with the 7-week range of lags ...
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IMPERFECT REPAIR MODELS INCORPORATING THE COVARIATES: AN APPLICATION
... Imperfect repair models with renewal process as a baseline have been developed by Kijima (1989), termed as Kijima Type I and Kijima Type II processes. Imperfect repair models with NHPP as a baseline have been developed ...
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Serum BPIFB4 levels classify health status in long-living individuals
... Since ELISA quantifications deviated significantly from the normal distribution (Shapiro-Wilk Test p-value < 0.01), non-parametric univariate tests were applied. The correlation between age and ELISA quantifications ...
6
On Expressing the Probabilities of Categorical Responses as Linear Functions of Covariates
... of covariates, provided that the cross-classification of the covariates and the response has no empty ...of covariates on the probabilities can be directly measured, unlike in ...
5