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Relative merits of the kernels obtained via proposed methods are explored by fitting 1D kernels to dispersion data for Argon and using the kernel to understand the size effect in non local energy as seen from molecular simulations.
The viability of estimating the ice borehole strength from known ice temperatures is explored by fitting linear regressions to strength temperature data for the two most common failure processes: well-defined yield failures (Type 2) and poorly-defined yield failures (Type 3).
This load dependence was further explored by fitting successfully the experimental data using the JKR continuum mechanics theory for single asperity contacts.
Moreover, carrier recombination and transportation characteristics can be further explored by fitting J V curve in dark with the new model for describing these important processes in efficient PSC devices.
Effect modification by sex was explored by fitting interaction terms into the full model.
Effect modification by sex was explored by fitting separate logistic regression models for males and for females.
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Dose response effects are explored by curve fitting of nonlinear models that especially have been developed to detect hormetic effects that are characterized by stimulation at lower followed by inhibition at higher dosages (U- and inverse U-shaped effects).
This was explored in two ways: by fitting various models in the attempt to improve fit, and by diagnostic plots.
Nevertheless, we can explore the separability assumption by fitting a set of models, each one of which includes a different type of interaction term.
We explored seasonal variation in associations by fitting separate Poisson regression models for cooler months (October March) and warmer months (April September) using 4 df/year to adjust for seasonality within each period.
The Weibull was used to describe time to healing in model A. Whilst we were limited in the use of other distributions, goodness of fit was explored by applying alternative time to event distributions to the IPD studies individually.
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