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Spectroscopic Estimation of Dapoxetine HCl using Multivariate Analysis
Research Journal of Pharmacy and Technology, 2020A sensitive and exact UV spectroscopic technique with a multilinear regression technique for assurance for Dapoxetine HCL in the drug dosage form. This technique relies upon the utilization of the linear regression equations by utilizing the interconnection between absorbance and concentration at five selected wavelengths.
P Krishnakumar +3 more
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Multivariate analysis for estimating the age of a bloodstain.
Journal of forensic sciences, 2011Our objective is to provide crime laboratories with a technique for estimating the age of a bloodstain. Toward that goal, we have used multiplexed, real-time RT-PCR (or qPCR) to determine the relative stability of different-sized segments of the same RNA species as well as differences in stability between two different RNAs' change over time in ...
Stacey E, Anderson +2 more
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Product Quality Estimation Using Multivariate Image Analysis
IFAC Proceedings Volumes, 2014Abstract This paper presents a novel method for estimating the quality of products from a proprietary process using Multivariate Image Analysis. The ability to estimate product quality would be useful for identifying production steps that are potentially problematic and would also help to reduce waste by ensuring that any defective products are ...
John Loftus, David Laurí, Barry Lennox
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Estimation in High-Dimensional Analysis and Multivariate Linear Models
Communications in Statistics - Theory and Methods, 2011This article presents a new approach of estimating the parameters describing the mean structure in the Growth Curve model when the number of variables compared with the number of observations is large. An unbiased, consistent, and asymptotic normal estimator is derived as well as its.
Tõnu Kollo +2 more
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Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation
Applied Statistics, 1980SUMMARY The detection of atypical observations from multivariate data sets can be enhanced by examining probabilityplotsofMahalanobis squared distances using robust M-estimates of means and of covariances, rather than the usual maximum likelihood estimates.
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Estimating an Effect Size in One-Way Multivariate Analysis of Variance (MANOVA)
Multivariate Behavioral Research, 2009When 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
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ANALYSIS OF MULTIVARIATE RELIABILITY STRUCTURES AND THE INDUCED BIAS IN LINEAR MODEL ESTIMATION
Statistics in Medicine, 1996Least 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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USING MULTIVARIATE ANALYSIS OF COVARIANCE IN GENETIC PARAMETER ESTIMATION
2022In 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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Estimation of Driver's Standard Postures by a Multivariate Analysis Method
Journal of the Ergonomics Society of Korea, 2006ABSTRACT 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 ...
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Multivariate analysis to detect outliers using robust estimators
2019Ένα 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
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