Results 31 to 40 of about 448,585 (316)
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
doaj +1 more source
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
core +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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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 and parameter estimation using the iterative smoothing method [PDF]
Journal of Cosmology and Astroparticle Physics, 2020 We compute the distribution of likelihoods from the non-parametric iterative smoothing method over a set of mock Pantheon-like type Ia supernova datasets.
H. Koo +3 more
semanticscholar +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
doaj +1 more source
lpdensity: Local Polynomial Density Estimation and Inference
Journal of Statistical Software, 2022 Density estimation and inference methods are widely used in empirical work. When the underlying distribution has compact support, conventional kernel-based density estimators are no longer consistent near or at the boundary because of their well-known ...
Matias D. Cattaneo +2 more
doaj +1 more source
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
doaj +1 more source
Journal of Computational And Graphical StatisticsStandard approaches for nonparametric curve fitting are often too restrictive when trying to estimate covariate effects that feature sudden changes or drastically changing curvature.
Anton Thielmann +2 more
semanticscholar +1 more source
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
doaj +1 more source