Search String: Display: Description: Sort:

Results:

References: [ +from:brandsma@knmi.nl: 4 ]

Total 4 documents matching your query.

1. [S] Smoothing (score: 1)
Author: "Theo Brandsma" <brandsma@knmi.nl>
Date: Fri, 15 Jan 1999 15:32:15 +0000
Does someone know of an S+ function (WIN95) that can do the following: I have a time series of monthly data of a climate variable (say temperature). I want to interpolate the monthly data, using a s
/archives/html/s-news/1999-01/msg00083.html (7,301 bytes)

2. [S] summary: Smoothing (score: 1)
Author: "Theo Brandsma" <brandsma@knmi.nl>
Date: Mon, 18 Jan 1999 08:52:04 +0000
Thanks to Lutz Prechelt <prechelt@ira.uka.de> and Rainer Kegel <rkl@sma.ch> who responded to my question: Lutz suggested to use a piecewise linear function using month-long linear pieces from one mid
/archives/html/s-news/1999-01/msg00097.html (7,818 bytes)

3. [S] Job vacancy (score: 1)
Author: "Theo Brandsma" <brandsma@knmi.nl>
Date: Tue, 13 Oct 1998 08:27:10 +0000
The Royal Netherlands Meteorological Institute (KNMI) is seeking to fill the position of a SCIENTIST to work on an EC funded project about the influence of climate change on water resources in Europe
/archives/html/s-news/1998-10/msg00068.html (8,199 bytes)

4. [S] summary.glm for gam object (score: 1)
Author: "Theo Brandsma" <brandsma@knmi.nl>
Date: Tue, 14 Jul 1998 15:09:36 +0000
Dear colleagues, I have the following GAM model with one linear predictor and two nonlinear predictors: y <- gam(formula = avrain ~ tmean + lo(vort, span = 0.5) + lo(difT, span = 0.5), family = Gamma
/archives/html/s-news/1998-07/msg00107.html (9,398 bytes)


This search system is powered by Namazu