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Density estimation with non–parametric methods [PDF]
One key issue in several astrophysical problems is the evaluation of the density probability function underlying an observational discrete data set. We here review two non-parametric density estimators which recently appeared in the astrophysical literature, namely the adaptive kernel density estimator and the Maximum Penalized Likelihood technique ...
Fadda, Dario +2 more
openaire +2 more sources
A study of phenotypic stability of 30 finger millet genotypes was conducted to assess genotype-environment interaction (GEI) and identify stable finger millet (Eleusine coracana (L.) Gaertn. subsp.
Salej Sood +3 more
doaj +1 more source
A Model for the Analysis of Caries Occurrence in Primary Molar Tooth Surfaces [PDF]
Recently methods of caries quantification in the primary dentition have moved away from summary ‘whole mouth’ measures at the individual level to methods based on generalised linear modelling (GLM) approaches or survival analysis approaches. However, GLM
Baelum V +29 more
core +1 more source
Parametric Bootstrap Methods for Estimating Model Parameters of Non-homogeneous Gamma Process [PDF]
Non-Homogeneous Gamma Process (NHGP) is characterized by an arbitrary trend function and a gamma renewal distribution. In this paper, we estimate the confidence intervals of model parameters of NHGP via two parametric bootstrap methods: simulation-based ...
Yasuhiro Saito, Tadashi Dohi
doaj +1 more source
A posteriori error estimation and adaptivity in stochastic Galerkin FEM for parametric elliptic PDEs: beyond the affine case [PDF]
We consider a linear elliptic partial differential equation (PDE) with a generic uniformly bounded parametric coefficient. The solution to this PDE problem is approximated in the framework of stochastic Galerkin finite element methods.
Bespalov, Alex, Xu, Feng
core +5 more sources
Parametric and non-parametric methods for the evaluation of winter rye genotypes by grain yield stability [PDF]
The analysis of yield stability has become increasingly relevant in recent years due to changing climatic conditions that negatively affect crop yields. It is of utmost importance for farmers to cultivate widely adaptable and yield-stable varieties with ...
Desheva Gergana N. +2 more
doaj +1 more source
Parametric v non-parametric methods for data analysis
Continuous data arise in most areas of medicine. Familiar clinical examples include blood pressure, ejection fraction, forced expiratory volume in 1 second (FEV1), serum cholesterol, and anthropometric measurements. Methods for analysing continuous data fall into two classes, distinguished by whether or not they make assumptions about the distribution ...
Altman, D, Bland, J
openaire +5 more sources
Systematics in lensing reconstruction: Dark matter rings in the sky? [PDF]
Non-parametric lensing methods are a useful way of reconstructing the lensing mass of a cluster without making assumptions about the way the mass is distributed in the cluster. These methods are particularly powerful in the case of galaxy clusters with a
Diego, Jose Maria, Ponente, Pier Paolo
core +2 more sources
Objectives Determination of reference intervals (RIs) using big data faces several obstacles due to heterogeneity in analysers, period and ethnicity.
Taeyun Kim, Hyunji Choi, Sun Min Lee
doaj +1 more source
Non-parametric PSF estimation from celestial transit solar images using blind deconvolution [PDF]
Context: Characterization of instrumental effects in astronomical imaging is important in order to extract accurate physical information from the observations.
Delouille, Véronique +2 more
core +2 more sources

