Results 221 to 230 of about 64,903 (243)

Smoothing parameter selection for smooth distribution functions

Journal of Statistical Planning and Inference, 1993
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Choosing the Smoothing Parameter

2001
We have now come to just about the most important aspect of nonparametric density estimation: choosing the smoothing parameter in kernel estimation that will give near-optimal results for large classes of densities.
P. P. B. Eggermont, V. N. LaRiccia
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Algorithms for Optimal Smoothing Parameter

2001
As before, let the linear continuous operators A : X → Z, T : X → Y be defined in the Hilbert spaces, z be an element of the space Z. Present as in Chapter 1 the variational principle for the interpolating spline σ ∈ X in the following way $$\sigma = \arg \mathop {\min }\limits_{u \in X,{A_u} = z} ||{T_u}||Y$$ (12.1) and for the smoothing ...
Anatoly Yu. Bezhaev, Vladimir A. Vasilenko   +1 more
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Smoothing parameter selection for smoothing splines: a simulation study

Computational Statistics & Data Analysis, 2003
Smoothing splines are a popular method for performing nonparametric regression. Most important in the implementation of this method is the choice of the smoothing parameter. This article provides a simulation study of several smoothing parameter selection methods, including two so-called risk estimation methods.
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Parameter Estimation Using Least-Squares Polynomial Smoothing

IEEE Transactions on Systems, Man, and Cybernetics, 1973
This paper considers several aspects of parameter estimation using least-squares polynomial smoothing of noisy observations. These aspects are 1) the choice of estimation times, 2) the simultaneous or independent use of data, and 3) the use of a polynomial of improper degree to fit the observations.
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Smoothing parameter selection in hazard estimation

Statistics & Probability Letters, 1991
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Sarda, P., Vieu, P.
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The smoothing parameter, confidence interval and robustness for smoothing splines

Journal of Nonparametric Statistics, 2005
Diagnostic measure for nonparametric regression using splines is given. The measure which incorporates important information provided by the smoothing parameter has the potential of identifying ‘unusual’ observations. These influential observations can substantially influence the global behavior of the fitted curve.
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A note on smoothing parameter selection for penalized spline smoothing

Journal of Statistical Planning and Inference, 2005
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Wave parameters after smooth submerged breakwater

Coastal Engineering, 2013
Based on the experimental studies of smooth submerged breakwater in the wave channel, it has been studied how the breakwater impacts on the changes of representative wave periods when the waves cross the breakwater. It has been shown that the reduction of the wave periods has a strong relationship with the wave steepness and relative submersion Rc/Hm0 −
Pršić, Marko, Carević, Dalibor, Lončar, Goran   +2 more
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How to Select the Smoothing Parameter?

1989
From the results given in the previous sections it appeared that the bandwidth h played a dominant role in the behaviour of kernel estimates for regression, density or hazard function estimation.
Lázió Györfi, Wolfgang Härdle, Pascal Sarda, Philippe Vieu   +3 more
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