Results 11 to 20 of about 144,234 (118)

A multivariate analysis to propose linear models for the stature estimation in the Sabahan young adult population.

open access: yesPLoS ONE, 2022
BackgroundStature is one of the significant parameters to confirm a biological profile besides sex, age, and ancestry. Sabah is in the Eastern part of Malaysia and is populated by multi-ethnic groups.
Hasanur Bin Khazri   +2 more
doaj   +1 more source

Combining Variable Selection and Multiple Linear Regression for Soil Organic Matter and Total Nitrogen Estimation by DRIFT-MIR Spectroscopy

open access: yesAgronomy, 2022
The successful estimation of soil organic matter (SOM) and soil total nitrogen (TN) contents with mid-infrared (MIR) reflectance spectroscopy depends on selecting appropriate variable selection techniques and multivariate methods for regression analysis.
Hong Li   +5 more
doaj   +1 more source

Information spreading by a combination of MEG source estimation and multivariate pattern classification.

open access: yesPLoS ONE, 2018
To understand information representation in human brain activity, it is important to investigate its fine spatial patterns at high temporal resolution. One possible approach is to use source estimation of magnetoencephalography (MEG) signals.
Masashi Sato   +3 more
doaj   +1 more source

Improved Large Dynamic Covariance Matrix Estimation With Graphical Lasso and Its Application in Portfolio Selection

open access: yesIEEE Access, 2020
The estimation of the large and high-dimensional covariance matrix and precision matrix is a fundamental problem in modern multivariate analysis. It has been widely applied in economics, finance, biology, social networks and health sciences. However, the
Xin Yuan   +3 more
doaj   +1 more source

Capabilities of R Package mixAK for Clustering Based on Multivariate Continuous and Discrete Longitudinal Data

open access: yesJournal of Statistical Software, 2014
R package mixAK originally implemented routines primarily for Bayesian estimation of finite normal mixture models for possibly interval-censored data.
Arnošt Komárek, Lenka Komárková
doaj   +1 more source

Simulated Maximum Likelihood for Double-Bounded Referendum Models

open access: yesJournal of Agricultural and Resource Economics, 2001
Although joint estimation of referendum-type contingent value (CV) survey responses using maximum-likelihood models is preferred to single-equation estimation, it has been largely disregarded because estimation involves evaluating multivariate normal ...
Mary C. Riddel
doaj   +1 more source

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

open access: yesВісник 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

Power Estimation in Multivariate Analysis of Variance [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2007
Power is often overlooked in designing multivariate studies for the simple reason that it is believed to be too complicated. In this paper, it is shown that power estimation in multivariate analysis of variance (MANOVA) can be approximated using a F ...
Jean François Allaire, Sylvain Chartier
doaj  

Estimating leaf nitrogen concentration based on the combination with fluorescence spectrum and first-derivative [PDF]

open access: yesRoyal 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   +4 more
doaj   +1 more source

Some recent developments on functional data analysis* [PDF]

open access: yesESAIM: 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   +3 more
doaj   +1 more source

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