Displaying 5 results from an estimated 5 matches for "undershoot".
2010 Feb 15
1
Non-monotonic spline using splinefun(method = "monoH.FC")
Hi,
In my version of R, the stats package splinefun code for fitting a
Fritsch and Carlson monotonic spline does not appear to guarantee a
monotonic result. If two adjoining sections both have over/undershoot
the way the resulting adjustment of alpha and beta is performed can give
modified values which still do not satisfy the required constraints. I
do not think this is due to finite precision arithmetic. Is this a known
bug? Have had a look through the bug database but couldn't find anything.
Bel...
2010 Feb 18
0
Error in coding for splinefun(method = "monoH.FC") (PR#14215)
Full_Name: Tim Heaton
Version: 2.8.1
OS: linux-gnu
Submission from: (NULL) (143.167.4.162)
Hi,
In my version of R, the stats package splinefun code for fitting a
Fritsch and Carlson monotonic spline does not guarantee a
monotonic result. If two adjoining sections both have over/undershoot
the way the resulting adjustment of alpha and beta is performed can give
modified values which still do not satisfy the required constraints. I posed the
question as to whether this was a known error on the R help but got no reply,
have also had a look through the bug database but couldn't find...
2008 Sep 15
0
RobASt-Packages
...which are based on a univariate distribution. Many
well-known parametric (in particular, exponential) families (Binomial,
Poission, Normal, Gamma, Gumbel, ...) are L2-differentiable.
We include several
+neighborhood types (convex contamination, total variation)
+risks (MSE, Hampel, overshoot/undershoot),
+bias-types (symmetric, one-sided, asymmetric)
+norms (unstandardized, self-standardized, information-standardized)
for all these models.
After installation you find a folder "scripts" in the package directory
which includes many example scripts.
As the computation of optimally ro...
2008 Sep 15
0
RobASt-Packages
...which are based on a univariate distribution. Many
well-known parametric (in particular, exponential) families (Binomial,
Poission, Normal, Gamma, Gumbel, ...) are L2-differentiable.
We include several
+neighborhood types (convex contamination, total variation)
+risks (MSE, Hampel, overshoot/undershoot),
+bias-types (symmetric, one-sided, asymmetric)
+norms (unstandardized, self-standardized, information-standardized)
for all these models.
After installation you find a folder "scripts" in the package directory
which includes many example scripts.
As the computation of optimally ro...
2008 Sep 02
2
Help with nonlinear regressional
Dear All,
I am doing experiments in live plant tissue using a laser confocal
microscope. The method is called "fluorescence recovery after
photo-bleaching" (FRAP) and here follows a short summary:
1. Record/ measure fluorescence intensity in a defined, round region of
interest (ROI, in this case a small spot) to determine the initial intensity
value before the bleaching. This