search for: undershoot

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