The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging of the observations when estimating the regression function. Analogously, one can estimate derivatives of small order of the regression function.

Packet : 25811258k_smooth.rar filelist
K_smooth\BAND.DAT
K_smooth\ex1.dat
K_smooth\ex1.out
K_smooth\EXAMPLE1.F90
K_smooth\EXAMPLE1.MAK
K_smooth\EXAMPLE1.MDP
K_smooth\EXAMPLE1.obj
K_smooth\EXAMPLE1.pdb
K_smooth\EXAMPLE2.F90
K_smooth\EXAMPLE3.F90
K_smooth\kernel_regression.mod
K_smooth\KERNF77.TXT
K_smooth\KERN_REG.F90
K_smooth\KERN_REG.obj
K_smooth\PLUGIN.exe
K_smooth\PLUGIN.F90
K_smooth\PLUGIN.MAK
K_smooth\PLUGIN.MDP
K_smooth\PLUGIN.obj
K_smooth\PLUGIN.pdb
K_smooth\RAW.DAT
K_smooth\README
K_smooth

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