Results 21 to 30 of about 168,974 (306)

Performance analysis of multivariate complex amplitude estimators [PDF]

open access: yesIEEE Transactions on Signal Processing, 2005
We consider multivariate complex amplitude estimation in the presence of unknown interference and noise. Two multivariate approaches [Maximum Likelihood (ML) and Capon] are provided. We derive the closed-form expression of the Crame/spl acute/r-Rao bound (CRB) for the unknown complex amplitudes.
Luzhou Xu, Jian Li 0001
openaire   +1 more source

Estimation of a Matrix of Heterogeneity Parameters in Multivariate Meta-Analysis of Random-Effects Models [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2014
Multivariate meta-analysis has potential over its univariate counterpart. The most common challenge in univariate or multivariate meta-analysis is estimating heterogeneity parameters in non-negative domains under the random-effects model assumption.
Abera Wouhib
doaj   +1 more source

Network analysis of multivariate data in psychological science

open access: yesNature Reviews Methods Primers, 2021
In recent years, network analysis has been applied to identify and analyse patterns of statistical association in multivariate psychological data.
D. Borsboom   +14 more
semanticscholar   +1 more source

Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions

open access: yesAdvances in Data Analysis and Classification, 2023
Mixtures of multivariate leptokurtic-normal distributions have been recently introduced in the clustering literature based on mixtures of elliptical heavy-tailed distributions.
Ryan P. Browne, L. Bagnato, A. Punzo
semanticscholar   +1 more source

Inclusion of Dominance Effects in the Multivariate GBLUP Model. [PDF]

open access: yesPLoS ONE, 2016
New proposals for models and applications of prediction processes with data on molecular markers may help reduce the financial costs of and identify superior genotypes in maize breeding programs. Studies evaluating Genomic Best Linear Unbiased Prediction
Jhonathan Pedroso Rigal dos Santos   +4 more
doaj   +1 more source

Multivariate Analysis Models Based on Full Spectra Range and Effective Wavelengths Using Different Transformation Techniques for Rapid Estimation of Leaf Nitrogen Concentration in Winter Wheat

open access: yesFrontiers in Plant Science, 2020
To develop a stable estimation model and identify effective wavelengths that could explain the variations in leaf nitrogen (N) concentration with different N supplies, growing seasons, ecological locations, growth stages, and wheat cultivars.
Lantao Li   +4 more
semanticscholar   +1 more source

A Method of Moments Estimator for Random Effect Multivariate Meta‐Analysis [PDF]

open access: yesBiometrics, 2012
SummaryMeta‐analysis is a powerful approach to combine evidence from multiple studies to make inference about one or more parameters of interest, such as regression coefficients. The validity of the fixed effect model meta‐analysis depends on the underlying assumption that all studies in the meta‐analysis share the same effect size.
Chen, Han   +2 more
openaire   +3 more sources

Improved Large Covariance Matrix Estimation Based on Efficient Convex Combination and Its Application in Portfolio Optimization

open access: yesMathematics, 2022
The estimation of the covariance matrix is an important topic in the field of multivariate statistical analysis. In this paper, we propose a new estimator, which is a convex combination of the linear shrinkage estimation and the rotation-invariant ...
Yan Zhang   +3 more
doaj   +1 more source

Stability estimation through multivariate approach among solasodine-rich lines of Solanum khasianum (C.B. Clarke): an important industrial plant

open access: yesFrontiers in Plant Science, 2023
Solanum khasianum is a medicinally important plant that is a source of steroidal alkaloids ‘solasodine.’ It has various industrial applications, including oral contraceptives and other pharmaceutical uses.
Twahira Begum   +8 more
semanticscholar   +1 more source

Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis

open access: yesDiabetes & metabolic syndrome, 2020
Introduction and aims: To prevent the spread of coronavirus disease (COVID19) total lockdown is in place in India from March 24, 2020 for 21 days.
S. Ghosal   +3 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy