Results 31 to 40 of about 4,733,796 (328)
Estimating quantitative forest attributes using Pleiades satellite data and non-parametric algorithms in Darabkola forests, Mazandaran [PDF]
تحقیقات جنگل و صنوبر ایران, 2015 Knowledge on quantitative forest attributes is a prerequisite for forest stand management. The aim of this study was to evaluate high resolution Pleiades data in estimating the standing volume and basal area using non-parametric algorithms in Darabkola ...
Mojgan Zahriban +3 more
doaj +1 more source
Electronic Journal of Plant Breeding, 2016 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
Non Parametric ROC Summary Statistics
Revstat Statistical Journal, 2022 Receiver operating characteristic (ROC) curves are useful statistical tools for medical diagnostic testing. It has been proved its capability to assess diagnostic marker’s ability to distinguish between healthy and diseased subjects and to compare ...
M.C. Pardo , A.M. Franco-Pereira
doaj +1 more source
A Model for the Analysis of Caries Occurrence in Primary Molar Tooth Surfaces [PDF]
, 2012 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
, 2017 As we know, there is a belief in the finance literature that Value at Risk (VaR) and Conditional Value at Risk (CVaR) are new approaches to manage and control the risk.
S. Banihashemi, S. Navidi
semanticscholar +1 more source
Parametric Versus Non-Parametric Time Series Forecasting Methods: A Review
Journal of Engineering Science and Technology Review, 2020 The non-parametric methods have been proposed in the research literature as an alternative to parametric methods for time series forecasting. However, scarce evidence is available about the relative performance and computational ability of both ...
Anjali Gautam, Vrijendra Singh
semanticscholar +1 more source
A posteriori error estimation and adaptivity in stochastic Galerkin FEM for parametric elliptic PDEs: beyond the affine case [PDF]
, 2006 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
Systematics in lensing reconstruction: Dark matter rings in the sky? [PDF]
, 2011 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
Non-parametric PSF estimation from celestial transit solar images using blind deconvolution [PDF]
, 2015 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
Two general methods for population pharmacokinetic modeling: non-parametric adaptive grid and non-parametric Bayesian [PDF]
Journal of Pharmacokinetics and Pharmacodynamics, 2013 Population pharmacokinetic (PK) modeling methods can be statistically classified as either parametric or nonparametric (NP). Each classification can be divided into maximum likelihood (ML) or Bayesian (B) approaches. In this paper we discuss the nonparametric case using both maximum likelihood and Bayesian approaches.
Tatarinova, Tatiana +9 more
openaire +3 more sources