R help - Jul 2005 - R: non parametric regression/kernels

hi all

i have a another stats question.

i would like to solve the following question:

y(i)=a+b*x(i)+e(i)

i.e. estimate a and b (they should be fixed) but i dont want to specify
the standard density to the straight line.

this can be done using kernel regression. the fitted line is however
fitted locally. does anyone have a reference that will help me with my
problem.

i am still new to kernels/kernel regression and would like to get into
the subject.

/
allan

Hi Clark,

see: 
? loess

http://finzi.psych.upenn.edu/R/library/stats/html/loess.html

? scatter.smooth 

http://finzi.psych.upenn.edu/R/library/stats/html/scatter.smooth.html

Regards,

Vito

Clark Allan <Allan <at> STATS.uct.ac.za> wrote:

hi all

i have a another stats question.

i would like to solve the following question:

y(i)=a+b*x(i)+e(i)

i.e. estimate a and b (they should be fixed) but i
dont want to specify
the standard density to the straight line.

this can be done using kernel regression. the fitted
line is however
fitted locally. does anyone have a reference that will
help me with my
problem.

i am still new to kernels/kernel regression and would
like to get into
the subject.

/
allan



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