Snowcats are commonly fitted with snowplows or snow groomers, and are used by ski resorts to smooth and maintain pistes and snowmobile runs, although they can also be used as a replacement for chairlifts.
Random regression models are mixed effect models with individual functions of continuous covariates fitted as random effects and are commonly fitted by specifying time-dependent basis functions ϕ1 t),…, ϕ K (t) [ 8].
15 Patients with type II or type IIIa SMA and upper-extremity contractures are commonly fitted with orthoses, which are likely to have a positive effect; however, scientific information about the effect is not available at present and remains to be proven by further investigation.
The time series of a postseismic deformation is commonly fitted by a logarithmic or exponential decay function.
Diffusion of one single component is commonly fitted with the standard model [ 38]: (2) G = 1 + 1 N (1 + 4 D τ ω 0 2 ) − 1 (1 + 4 D τ z 0 2 ) − 1 2 The resulting ideal probe volume is approximated by a Gaussian profile with the extension ω0 in x and y directions and z 0 in the z direction [ 39].
Converting these to candela per square meter involves a power transform (i.e., the gamma function that is commonly fit LUTs).
The pseudo-first and pseudo-second-order linear models are commonly used to fit the kinetic information via Eqs.
Figures in Science are commonly reduced to fit in 1, 1.5 or 2 columns (1 column = 21p3, or 3.5 inches, or 9 cm; 2 columns = 43p6, or 7.3 inches, or 18.4 cm).
Despite the fact that several PARAFAC-based methods have been proposed for DOA and DOD estimation in bistatic MIMO radars, trilinear decomposition algorithms [17 21] with trilinear alternating least square (TALS) are commonly used to fit PARAFAC model.
Quadratic and cubic splines with multiple knots are commonly used to fit exposure response data in epidemiology (Eisen et al. 2004; Harrell et al. 1988; Steenland and Deddens 2004).
Logistic regression models, as employed here, are commonly used to fit relationships between binomial response data and factors such as experience and condition [ 17, 23, 40] and may be used as a link function for fitting generalized linear mixed-effects models [ 41, 42].
