[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
Re: st: RE: -locpoly-
For some reason my original reply did not go through:
"D.Christodoulou" <email@example.com> asks about some details behind
> Following Nick's reply on my previous posting I was not able to locate the
> Fan, Fan, and Gijbels, "Local Polynomial Modelling and Its Applications",
> in Monographs of Statistics and Applied Probability, Chapman and Hall/CRC.
I'm not sure if this helps, but this is number 66 in the series.
Fan, J. and I. Gijbels. 1996. Local Polynomial Modelling and Its
Applications. Chapman & Hall: London.
I was able to find it by searching on "fan gijbles" at a couple of on-line
> (1) I would like ask the authors of the -locpoly- command and whoever is
> familiar with the command whether the following references are sufficient
> in explaining the algorithm of -locpoly-:
> Hardle (1990), Applied Nonparametric Regression, Econometric Society
> Monographs, Cambridge Press.
> Cleveland (1979), "Robust Locally Weighted Regression and Smoothing
> Scatterplots", Journal of the American Statistical Association, Vol.74,
> No.368, pp.829-836.
> Muller (1987), "Weighted Local Regression and Kernel Methods for
> Nonparametric Fitting", Journal of the American Statistical Association,
> Vol.82, No.397, pp.231-238.
The above three references are cited in Fan and Gibjbels. D.Christodoulou
might want to start with Cleveland (1979).
> (2) Has anyone written something on nonparametric smoothing for
> higher-dimensions, i.e. more than one explanatory variables ?
I am not aware of anything written for Stata that handles this case.
> (3) How can I statistically compare (given a confidence level) the
> parametric fit "y-hat" with the non-parametric fit "conditional-y-mean" ?
> Has anyone written a statistical test such as the one described in
> Hardle(1990, ch.9.3) for the qsuared deviation between the two measures ?
This is a good research question worth a literature search. Simonoff has some
discussion of goodnetss-of-fit:
Simonoff, J. S. 1996. Smoothing Methods in Statistics. Springer:
* For searches and help try: