"Hyperbolic regression - a model based on two-phase piecewise linear regression with a smooth transition between regimes", Commun. Stat. 2, 561 - 569.Griffiths, D. A., Miller, A. J. (1973). Hyperbolic regression - A model based on two-phase piecewise linear regression with a smooth ...
Piecewise linear regression with the breakpoint estimation showed that the plants at the same age but at a different vegetal stage, manage mechanical leaf-piercing differently. The differences concerned the stomatal conductance and transpiration changes since for rosette leaves the process consisted of ...
We solve the problem for the special case k = 2 by showing that an optimal solution essentially consists of two least squares linear regression lines in which the weight w j of some data point ( x j, y j) is split into the weights λ w j and (1 λ) w j, 0 ≤λ≤ 1, for ...
multiple linear regressionpiecewise Gilbert-type correlationwellhead chokeMULTIPHASEPREDICTIONSOILWellhead chokes play key roles in liquid-flowback and gas-production processes of hydraulically fractured shale-gas wells. The characteristic of choke flow is quite complex and involves many factors, such as ...
piecewise linear modelrailwayspatial dependencetampingtrack geometryAccurate prediction and efficient simulation of the evolution of track geometry condition is a prerequisite for planning effective railway track maintenance. In this regard, the degradation and tamping effect should be equipped with proper and...
In PLN learning no division test is needed and it causes this algorithm to be much faster than LOLIMOT, but it may create adjacent neurons that would lead to singularity in regression matrix. In LOLIMOT, because of regular splitting of input space, this problem does not occur and always it ...
Linear regressionPolygonsCartesian coordinatesWe use a variational approach to optimize the center point of coefficients associated with the piecewise linear basis functions introduced by Stone and Adams, for polygonal zones in two Cartesian dimensions.Brooks, E. D....