Results 261 to 270 of about 621,525 (301)

Performance analysis of state estimators for a multivariable process

2017 International Conference on Nascent Technologies in Engineering (ICNTE), 2017
State estimation techniques play a great role in providing insight into plant dynamics by providing information about the quality variables in the system. For multivariable systems, typically few variables are directly measured, while others can be estimated.
Anjali Deshpande, Siddharth S. More, Poonam Shah   +2 more
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Composite likelihood estimation in multivariate data analysis

Canadian Journal of Statistics, 2005
Summary: The authors propose two composite likelihood estimation procedures for multivariate models with regression/univariate and dependence parameters. One is a two-stage method based on both univariate and bivariate margins. The other estimates all the parameters simultaneously based on bivariate margins.
Zhao, Yinshan, Joe, Harry
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Bayes Estimate of the Noncentrality Parameter in Multivariate Analysis

Communications in Statistics - Simulation and Computation, 1974
Madansky and Olkin (1969) derived approximate confidence intervals for the parameter,μ∑-1μ This paper deals with the estimation of the parameter using a Bayes technique. The general case with parameter Ω=∑-1MN is also considered and Bayes estimates of Ω and tr j Ω derived.
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Quality of evidence for multivariate analysis to keep stable estimates

International Journal of Cardiology, 2013
De Felice et al. reported clinical outcome in patients treated with abciximab [1]. I have some concern on their study outcome from a statistical viewpoint. First, they detected 35 patients with major adverse cardiac events for 30 days (15 patientswithout abciximab and 20 patients with abciximab).
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Performance analysis of the AM-SG parameter estimation for multivariable systems

Applied Mathematics and Computation, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Heqiang Han, Guanglei Song, Yongsong Xiao, Yuwu Liao, Ruifeng Ding   +4 more
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Product Quality Estimation Using Multivariate Image Analysis

IFAC Proceedings Volumes, 2014
Abstract 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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Spectroscopic Estimation of Dapoxetine HCl using Multivariate Analysis

Research Journal of Pharmacy and Technology, 2020
A 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, T Sundarrajan, M K Kathiravan, K Manikandan   +3 more
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Multivariate analysis for estimating the age of a bloodstain.

Journal of forensic sciences, 2011
Our 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, Gerald R, Hobbs, Clifton P, Bishop   +2 more
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Estimation in High-Dimensional Analysis and Multivariate Linear Models

Communications in Statistics - Theory and Methods, 2011
This 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, Tatjana Von Rosen, Dietrich Von Rosen   +2 more
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Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation

Applied Statistics, 1980
SUMMARY 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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