J. (1973). Hyperbolic regression - a model based on two-phased piece-wise linear regression with a smooth transition between regimes. Communications in Statistics 2, 561-9.Griffiths, D. A., Miller, A. J. (1973). Hyperbolic regression - A model based on two-phase piecewise linear ...
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 ...
At the first level, the degradation characteristic of each track section is modelled by a piecewise linear model with known break points at the tamping times. At the second level, Autoregressive Moving Average models are used to capture the spatial dependences between the parameters of the ...
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 ...
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 ...
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 ...
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....