TY  - CHAP
AB  - Assume that we generate forecasts from a model y=cx+d+. “c” and “d” are placement parameters estimated from observations on x and y, andis the residual.If the residualis observed to be symmetric about the mode, it is usually assumed to be distributed by the Gaussian family of functions. If the residual is skew to the left of the mode, or to the right of the mode, it cannot be assumed to be normally distributed. A family of functions will then have to be found which will correctly represent the observed skew values for . The analyst has to search for a family on a case-by-case basis, trying one family of functions first, then another, till one is found which fits the observed non-symmetric -values correctly. This chapter aims to eliminate this time consuming estimation process. The chapter introduces a family of functions. The family is capable of taking any skew or symmetric locus by varying its placement parameters. The family will simplify the effort to correctly measure the densities ofbecause the estimation problem is reduced to fitting only one function to the data if it is symmetric or skew.
VL  - 5
SN  - 978-0-85724-787-2, 978-0-7623-1478-2/1477-4070
DO  - 10.1016/S1477-4070(07)00213-9
UR  - https://doi.org/10.1016/S1477-4070(07)00213-9
AU  - Waage Frenck
ED  - Kenneth D. Lawrence
ED  - Michael D. Geurts
PY  - 2008
Y1  - 2008/01/01
TI  - A new method for estimating forecasting functions
T2  - Advances in Business and Management Forecasting
T3  - Advances in Business and Management Forecasting
PB  - Emerald Group Publishing Limited
SP  - 227
EP  - 248
Y2  - 2024/04/19
ER  -