Results 41 to 50 of about 168,974 (306)

MODIFIED METHOD OF CONSTRUCTING A MULTIVARIATE LINEAR REGRESSION GIVEN BY A REDUNDANT DESCRIPTION

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2022
A number of scientific works of Prof. O. A. Pavlov and his disciples is devoted to the development of an original method of efficient estimation of coefficients at nonlinear terms of multivariate polynomial regression given by a redundant description ...
Alexander Pavlov, Maxim Holovchenko
doaj   +1 more source

Some recent developments on functional data analysis* [PDF]

ESAIM: Proceedings and Surveys
Recent contributions to functional data analysis are presented. Various problems are considered including the definition of the barycenter of multivariate functional data and the adaptive nonparametric estimation in the functional linear model with ...
Cugliari Jairo, Devijver Emilie, Meynaoui Anouar, Mignot Raphaël   +3 more
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Analysis of methods for multivariable frequency response function estimation in closed loop [PDF]

2007 46th IEEE Conference on Decision and Control, 2007
Estimation methods for the multivariable frequency response function are analyzed, both in open and closed loop. Expressions for the bias and covariance are derived and the usefulness of these expressions is illustrated in simulations of an industrial robot where the different estimators are compared.
Wernholt, Erik, Gunnarsson, Svante
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Eco-Friendly Estimation of Heavy Metal Contents in Grapevine Foliage Using In-Field Hyperspectral Data and Multivariate Analysis

Remote Sensing, 2019
Heavy metal monitoring in food-producing ecosystems can play an important role in human health safety. Since they are able to interfere with plants’ physiochemical characteristics, which influence the optical properties of leaves, they can be ...
Mohsen Mirzaei, Jochem Verrelst, Safar Marofi, Mozhgan Abbasi, Hossein Azadi   +4 more
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Estimating within‐study covariances in multivariate meta‐analysis with multiple outcomes [PDF]

Statistics in Medicine, 2012
Multivariate meta‐analysis allows the joint synthesis of effect estimates based on multiple outcomes from multiple studies, accounting for the potential correlations among them. However, standard methods for multivariate meta‐analysis for multiple outcomes are restricted to problems where the within‐study correlation is known or where individual ...
Wei, Yinghui, Higgins, Julian Pt
openaire   +4 more sources

Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes

IEEE Access
Multivariate spatio-temporal point patterns have become increasingly common due to the advancement of technology for massive data collection. Parameter estimation is vital for understanding the distributional patterns within such data.
Achmad Choiruddin, Ekky Rino Fajar Sakti, Tintrim Dwi Ary Widhianingsih, Jorge Mateu, Kartika Fithriasari   +4 more
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Estimating leaf nitrogen concentration based on the combination with fluorescence spectrum and first-derivative [PDF]

Royal Society Open Science, 2020
Leaf nitrogen concentration (LNC) is a major indicator in the estimation of the crop growth status which has been diffusely applied in remote sensing. Thus, it is important to accurately obtain LNC by using passive or active technology.
Jian Yang, Lin Du, Wei Gong, Shuo Shi, Jia Sun   +4 more
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Estimation of within-study covariances in multivariate meta-analysis

CoRR, 2020
Multivariate meta-analysis can be adapted to a wide range of situations for multiple outcomes and multiple treatment groups when combining studies together. The within-study correlation between effect sizes is often assumed known in multivariate meta-analysis while it is not always known practically.
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Multivariate analysis to estimate the erodibility of Latosols in Alagoas, Brazil

Diversitas Journal, 2023
Soil erodibility is one of the most important factors in understanding the erosive process. In view of the need to explore methods for determining the values of erodibility by simulated rainfall, the objective was to evaluate, through the tools of multivariate statistics, the erodibility of Latosols from Alagoas influenced by the physical, chemical and
Felipe Ferreira Martins, Mayara Rodrigues Nascimento, Maiane Rodrigues do Nascimento, Renato Luiz Tertuliano De Gois, Márcio Aurélio Lins Dos Santos, Cícero Gomes Dos Santos   +5 more
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Methods of multivariate analysis in estimation of the new prospect strawberry selections

Agrarian science
Relevance. The demand for new genotypes with their higher characteristics of yield and quality of berries, stably bearing fruit and resistant to abiotic and biotic stresses, determines the development of breeding research on strawberries.
V. Yakovenko, V. Lapshin
semanticscholar   +1 more source