Three-level Hierarchical Generalised Linear Models are employed to analyse large-scale international data from the Programme for International Student Assessment (PISA). Results reveal that public attitudes toward S&T are positively associated with students' expectations around pursuing STEM careers. Further ...
During the first step, the effect of all consequent variables on NC was analysed in one model using a multivariate generalised linear modelling (GLM): "species" (pygmy field mouse and com- mon vole), body length, sex, age, date, year, total abundance and species abundance. From this ...
The likelihood to mate in relation to the distance of pairs (see equation 1) and relative size difference of pairs (see equation 2) were analyzed with generalised linear models ("glm"), with binomial error distribution and logit link function. The impact of body size on the number of eggs...
In both cases, a Generalised Linear Mixed Model was run, followed by a model comparison approach based on AICc using the dredge function of the MuMIn package in R. This function generates every possible model, with all possible fixed effect combinations (see supplementary materials for details on...
Use of a generalised linear model to test habitat preferences: the example of Zingel Asper, an endemic endangered percid of the River Rhone. Freshwater Biology 48: 687–697. Article Google Scholar Laegdsgaard, P. & C. Johnson, 2001. Why do juvenile fish utilise mangrove habitats? Journal ...
Using the Cauchy-Binet formula, one can rewrite such determinants as linear combinations of squares of magnitudes of generalised Vandermonde determinants where and the signs of the coefficients in the linear combination are determined by the signs of the coefficients of . The task is then to find...
A number of other ways to characterise the relationship of sleep discrepancy with other variables of interest were identified and are depicted inFig. 20below. Some studies operationalised sleep discrepancy using an interaction term within an ANOVA or other linear model such that the other variable(...
Generalised logistic growth Skewed sigmoid growth, where is the maximal value of Y (upper asymptote), is the time point at which Y reaches (inflection point), > 0 is a parameter to control the shape of the curvature, and k is the growth rate ( is also the early exponential RGR) Therma...
(Note the argument can be generalised without difficulty to the case when lie in a Banach algebra, rather than be bounded operators on a Hilbert space.) It was observed by Popa that there is a quantitative version of this result: Theorem 1 Let such that for some . Then we have ...
However, this was a qualitative study and findings cannot be generalised. More research is needed to test the importance of these attributes in influencing patient outcomes from clinical genetics services, and these attributes will be useful in designing models of service delivery that could be ...