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The governing equations are derived in a generalised framework such that the order of the model, and hence its accuracy, increases automatically when implemented in a computer code.
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A generalised framework has recently been proposed for derivation of kinematically admissible velocity fields in 3-dimensional upper bound limit analysis in Tresca's material using coordinate transformations.
We have outlined how these techniques can be combined with public key cryptography and current probabilistic record linkage techniques to create a generalised framework for blindfolded record linkage.
Fig. 1 The many roles of law in the governance of natural hazards set out in a generalised legal framework with reference to some recent court cases.
We propose that fluid transport models at other spatial scales can be constructed in a generalised core shell framework, in which the core accounts for the biophysical effects of fluid transport whilst the shell reflects the regulatory mechanisms.
c In a generalised PBN framework a network variable can have any value in {0,1,…, d−1}, where d > 2.
To estimate variations in survival due to deprivation, multivariable regression models were fitted in a Generalised Linear Model framework, with Poisson error structure and a dedicated link function (Dickman et al, 2004), adjusting for duration of follow-up, age, FIGO stage and period of diagnosis.
The excess hazard of death over and above background mortality was estimated by fitting multivariable regression models with Poisson error structure and a dedicated link function in a generalised linear model framework, adjusting for the duration of follow-up and the confounding effects of age, Federation of Gynecology and Obstetrics (FIGO) stage and calendar period.
We chose HL as the most appropriate measure of heterozygosity for the main statistical analyses, so that they could be compared with other published results (e.g. [ 46]), and because the distribution of the variation in HL was amenable to modelling in a generalised linear model (GLM) framework.
Then we tested if a random effect model can improve precision in the estimate of move length in a generalised linear mixed model framework.
Logistic regression modelling in a generalised estimation equation framework was used to adjust for multiple FDRs within families.
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