Results 271 to 280 of about 621,525 (301)

Estimating an Effect Size in One-Way Multivariate Analysis of Variance (MANOVA)

Multivariate Behavioral Research, 2009
When two or more univariate population means are compared, the proportion of variation in the dependent variable accounted for by population group membership is eta-squared. This effect size can be generalized by using multivariate measures of association, based on the multivariate analysis of variance (MANOVA) statistics, to establish whether ...
H S, Steyn, S M, Ellis
openaire   +2 more sources

ANALYSIS OF MULTIVARIATE RELIABILITY STRUCTURES AND THE INDUCED BIAS IN LINEAR MODEL ESTIMATION

Statistics in Medicine, 1996
Least squares provides consistent estimates of the regression coefficients beta in the model E[Y [symbol: see text] x] = beta x when fully accurate measurements of x are available. However, in biomedical studies one must frequently substitute unreliable measurements X in place of x. This induces bias in the least squares coefficient estimates.
M, Aickin, C, Ritenbaugh
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Estimation of Driver's Standard Postures by a Multivariate Analysis Method

Journal of the Ergonomics Society of Korea, 2006
ABSTRACT The package layout of a vehicle is very important to the driver's postural comfort. It considers human body characteristics of drivers and passengers, and uses the anthropometric data on driver's posture. Especially, since the human bodies were scanned in Size Korea project, three-dimensional human shape data have been considered the useful ...
openaire   +1 more source

Multivariate analysis to detect outliers using robust estimators

2019
Ένα συχνό πρόβλημα που παρουσιάζεται σε κάποιον που έχει σκοπό να μοντελοποιήσει στατιστικά δεδομένα είναι τα outliers. Πιο συγκεκριμένα, μπορεί τα περισσότερα δεδομένα να ακολουθούν κανονική κατανομή, αλλά ένα μέρος των παρατηρήσεων μας βρίσκεται μακριά από τις υπόλοιπες παρατηρήσεις. Τα outliers, ή αλλιώς οι ακραίες τιμές, μπορούν να μας οδηγήσουν σε
openaire   +1 more source

USING MULTIVARIATE ANALYSIS OF COVARIANCE IN GENETIC PARAMETER ESTIMATION

2022
In this study, it is aimed to use multivariate analysis of covariance (MANCOVA) as an alternative approach for estimating genetic parameters and to define the efficiency of the MANCOVA method in the estimation of variance components by comparing the results to the ML and ANOVA methods. The data are collected by simulation.
ELTAS, Ömer, Topal, Mehmet
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Multivariate Analysis for Estimating the Age of a Bloodstain*

Journal of Forensic Sciences, 2010
Stacey E. Anderson, Gerald R. Hobbs, Clifton P. Bishop   +2 more
openaire   +1 more source

Density estimation and some topics in multivariate analysis

2014
Part I, entitled "A test of goodness-of-fit for multivariate distributions with special emphasis on multinornality", investigates a modification of the Chi-squared goodness-of-fit statistic which eliminates certain objectionable properties of other multivariate goodness-of-fit tests.
openaire   +1 more source

Multivariate Regression Analysis and Error Estimation in Formation Satellite

Astronomy Reports, 2022
Mitali J. Doshi, Niraj M. Pathak, Elbaz I. Abouelmagd   +2 more
openaire   +1 more source

Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges

Information Fusion, 2020
Lei Zou, Zidong Wang, Jun Hu
exaly  

Delay Compensation-Based State Estimation for Time-Varying Complex Networks With Incomplete Observations and Dynamical Bias

IEEE Transactions on Cybernetics, 2022
Jun Hu, Zidong Wang, Guo-Ping Liu
exaly