Bivariate analysis—allometry with the length of
The allometry of proboscis length in Melittidae (Hymenoptera: Apoidae) and an estimate of their foraging distance using museum collections
... AIC model selection was used to establish which factors provide the best estimate of probos- cis length. We explored a hypothesis that has been proposed in the literature, but which has not been tested, whereby ...
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Algorithms for Bivariate Singularity Analysis
... for Bivariate Singularity Analysis Abstract An algorithm for bivariate singularity analysis is ...of bivariate, rational functions F = P/Q, this algorithm produces rigorous numerics for ...
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ALGORITHMS FOR BIVARIATE SINGULARITY ANALYSIS
... Chapter 1 Singularity Analysis Background 1.1 Introduction 1 Let A denote a combinatorial class, i.e. a set of combinatorial objects. For example, A could be the set of all trees of a particular type, or the set ...
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Time-frequency analysis of bivariate signals
... of bivariate signals without any ad hoc ...time-frequency analysis of 2 components is ...either bivariate signals in dimension larger than 1 or multivariate signals with values in a D-dimensional ...
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Compositional analysis of bivariate discrete probabilities
... of analysis of two-way contingency tables are the so-called log-linear models (Bishop et ...This analysis is essentially statistical because the estimation of the different tables is normally carried out ...
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Chapter 5: Bivariate Cointegration Analysis
... The critical values for M (at most equals six) can be found out with the table of MacKinnon (1991).. It requires that the combination of the time series exhibit the same integrati[r] ...
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Bivariate meta-analysis of predictive values of diagnostic tests can be an alternative to bivariate meta-analysis of sensitivity and specificity
... Another advantage of meta-analysis of predictive values is that it provides researchers with valid estimates even when those for sensitivity and specificity may be biased be- cause of differential verification, or ...
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Multivariate Longitudinal Analysis with Bivariate Correlation Test
... data analysis which, obviously, englobes the multivariate longitudinal data analysis ...this bivariate correlation ...the bivariate correlation ...
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Allometry and Ecology of the Bilaterian Gut Microbiome.
... These findings provide promising starting points for future studies targeting discovery of novel gut bacteria. Community structure, phylogeny, and lifestyle. We next compared bilaterian gut community structures on a ...
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Allometry and Ecology of the Bilaterian Gut Microbiome
... These findings provide promising starting points for future studies targeting discovery of novel gut bacteria. Community structure, phylogeny, and lifestyle. We next compared bilaterian gut community structures on a ...
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Bivariate frequency analysis of flood characteristics at Glomma and Gudbrandsdalslågen
... the bivariate log normal distribution there exist no analytical form of the CDF, thus a method is needed to estimate the ...the bivariate log normal CDF, the different combinations of x 1 and x 2 values ...
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Innovation Performance of Chilean SMEs: A Bivariate Probit Analysis
... 3.4. Independent Variables The literature examples suggest that firms’ with R&D, networks and quality standards are important innovation input variables. In addition, this paper has used exports as independent variable ...
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Bivariate Cointegration Analysis of Energy-Economy Interactions in Iran
... Ismail Oladimeji Soile 1 Abstract: Fixing the prices of energy products below their opportunity cost for welfare and redistribution purposes is common with governments of many oil producing developing countries. This has ...
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A Generalized Bivariate Copula for Flood Analysis in Peninsular Malaysia
... Archimedean Copulas works with many different generators and they can be observed in Table 4.1 of Nelsen [19]. In general, is dependent on a parameter and it therefore be symbolized by . In this study, four types of ...
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Bivariate network meta-analysis for surrogate endpoint evaluation
... bvNMA 1c 0.95 0.30 0.82 0.96 0.31 0.83 0.97 0.25 0.76 bvNMA 1d 0.95 0.30 0.75 0.95 0.31 0.75 0.97 0.25 0.76 Abbreviations: bvNMA, bivariate network meta-analysis. relatively small sample of studies in ...
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Height-diameter allometry of tropical forest trees
... 3. to develop H:D allometric equations and evaluate bi- ases to reduce error in future local-to-global estimates of tropical forest biomass. Annual precipitation coefficient of variation (P V ), dry sea- son ...
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Height-diameter allometry of tropical forest trees
... 3. to develop H:D allometric equations and evaluate bi- ases to reduce error in future local-to-global estimates of tropical forest biomass. Annual precipitation coefficient of variation (P V ), dry sea- son ...
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Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis
... force plate. At this point, the largest acceleration of ML would occur when the COP moved rapidly towards the second foot. This instant in time was used for both AP and ML displacements. All analyses were performed for ...
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Bivariate B-splines and its Applications in Spatial Data Analysis
... iii) bivariate B-splines (BBS) were applied and compared in terms of out-of-sample mean squared errors ...The bivariate B-splines method used triangulation as displayed in Figure 9 with d = 3 and r = ...
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Bivariate Rainfall and Runoff Analysis Using Entropy and Copula Theories
... In the above three types of applications, use of the copula theory separates approach II from approaches I and III with the capability of capturing the nonlinear dependence structure of studied variables, whereas the ...
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