Results 21 to 30 of about 3,817,143 (297)
Approximate Interpolation with Applications to Selecting Smoothing Parameters
Numerische Mathematik, 2005 An approximation problem can be shortly stated as follows: for a finite set \(X\) of points situated in a bounded set \(\Omega\) and a corresponding data values of an unknown function \(f \in C(\Omega)\), a function \(s_{f,X} \in C(\Omega)\) to produce a good approximation is required.
Holger Wendland, Christian Rieger
openaire +4 more sources
Direct Determination of Smoothing Parameter for Penalized Spline Regression
Journal of Probability and Statistics, 2014 Penalized spline estimator is one of the useful smoothing methods. To construct the estimator, having goodness of fit and smoothness, the smoothing parameter should be appropriately selected. The purpose of this paper is to select the smoothing parameter
Takuma Yoshida
doaj +1 more source
Univariate and bivariate distribution of growth traits in beef buffaloes from Brazil
Italian Journal of Animal Science, 2010 The aim of this study was to analyze the weight at birth (BW) and adjusted at 205 (W205), 365 (W365) and 550 (W55O) days in beef buffaloes from Brazil, using two approaches: parametric, by normal distribution, and non-parametric, by kernel function, and ...
J.C. de Souza +5 more
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Knot selection by boosting techniques [PDF]
, 2006 A novel concept for estimating smooth functions by selection techniques based on boosting is developed. It is suggested to put radial basis functions with different spreads at each knot and to do selection and estimation simultaneously by a componentwise
Gerhard Tutz +3 more
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Design of output fluctuation smoothing strategy in photovoltaic power station [PDF]
E3S Web of Conferences, 2020 The output power of photovoltaic (PV) power station has strong fluctuation and randomness. Large-scale photovoltaic grid connection will affect the safe operation of power grid.
Zhang Yu +5 more
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Geodesy and Geodynamics, 2021 When the total least squares (TLS) solution is used to solve the parameters in the errors-in-variables (EIV) model, the obtained parameter estimations will be unreliable in the observations containing systematic errors.
Leyang Wang, Luyun Xiong, Tao Chen
doaj +1 more source
Model selection in generalised structured additive regression models [PDF]
, 2007 In recent years data sets have become increasingly more complex requiring more flexible instruments for their analysis. Such a flexible instrument is regression analysis based on a structured additive predictor which allows an appropriate modelling for ...
Belitz, Christiane
core +1 more source
Optimal parameter selection for intensity-based multi-sensor data registration [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Accurate co-registration of multi-sensor data is a primary step in data integration for photogrammetric and remote sensing applications. A proven intensity-based registration approach is Mutual Information (MI).
E. G. Parmehr +3 more
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Determining an effective short term COVID-19 prediction model in ASEAN countries
Scientific Reports, 2022 The challenge of accurately short-term forecasting demand is due to model selection and the nature of data trends. In this study, the prediction model was determined based on data patterns (trend data without seasonality) and the accuracy of prediction ...
Omar Sharif +2 more
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Testing Symmetry of Unknown Densities via Smoothing with the Generalized Gamma Kernels
Econometrics, 2016 This paper improves a kernel-smoothed test of symmetry through combining it with a new class of asymmetric kernels called the generalized gamma kernels. It is demonstrated that the improved test statistic has a normal limit under the null of symmetry and
Masayuki Hirukawa, Mari Sakudo
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