Results 261 to 270 of about 620,297 (279)
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Multivariate statistical analysis for estimating surface water quality in reservoirs
International Journal of Hydrology Science and Technology, 2018Regular water quality monitoring programs are an important aspect of water management. Different multivariate statistical techniques were applied for interpretation and evaluation of the data matrix obtained during a six-year monitoring program (2006 to 2011) in the principal reservoirs of the central region of Argentina.
Bonansea, Matias +5 more
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Estimation of Net Carbon Consumption in Aluminum Electrolysis Using Multivariate Analysis
Journal of Sustainable Metallurgy, 2020In the aluminum electrolysis, the amount of carbon consumed per unit of metal produced is always higher than the theoretical one. Raw material variability, anode properties, and reduction cell operation and performance can influence this discrepancy.
Petre Manolescu +3 more
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Estimating Customer Lifetime Value in the E-Commerce Industry Using Multivariate Analysis
Proceedings of The International Conference on Data Science and Official Statistics, 2022Companies can develop their business using big data to support decision-making. Big data in the e-commerce industry that includes size and speed of high transactions can be used to analyze customer behaviour and predict customer value. Nowadays, companies are starting to develop customer-oriented rather than product-oriented business interests. One way
Bagaskoro Cahyo Laksono +1 more
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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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Estimation of failure criteria in multivariate sensory shelf life testing using survival analysis
Food Research International, 2017For most food products, shelf life is determined by changes in their sensory characteristics. A predetermined increase or decrease in the intensity of a sensory characteristic has frequently been used to signal that a product has reached the end of its shelf life.
Ana, Giménez +2 more
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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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The International Journal of Artificial Organs, 1998
The purpose of this study was to determine if Kt/V urea in continuous ambulatory peritoneal dialysis (CAPD) could be estimated by a multivariate model based upon simple clinical observations. The study included 439 clearance studies in 301 CAPD patients followed in 8 dialysis centers. Weekly urea clearance, 24 h urine volume and 24 h drain volume were
G H, Murata +6 more
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The purpose of this study was to determine if Kt/V urea in continuous ambulatory peritoneal dialysis (CAPD) could be estimated by a multivariate model based upon simple clinical observations. The study included 439 clearance studies in 301 CAPD patients followed in 8 dialysis centers. Weekly urea clearance, 24 h urine volume and 24 h drain volume were
G H, Murata +6 more
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A ROBUST METHOD OF ESTIMATING COVARIANCE MATRIX IN MULTIVARIATE DATA ANALYSIS [PDF]
Analele Stiintifice ale Universitatii "Alexandru Ioan Cuza" din Iasi, 2009 We proposed a robust method of estimating covariance matrix in multivariate data set. The goal is to compare the proposed method with the most widely used robust methods (Minimum Volume El-lipsoid and Minimum Covariance Determinant) and the classical method (MLE) in detection of outliers at different levels and magnitude of outliers.
G.M. OYEYEMI, R.A. IPINYOMI
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Communications in Statistics - Simulation and Computation, 2014
ABSTRACTA robust regression method with substantial efficiency, high breakdown regression, and providing description of likely outlier structure is introduced. The proposed method is an agglomeration of procedures beginning from the use of Minimum Mahalanobis Distance (MMD) in constructing a cluster phase to a bounded influence regression phase ...
Ekele Alih, Hong Choon Ong
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ABSTRACTA robust regression method with substantial efficiency, high breakdown regression, and providing description of likely outlier structure is introduced. The proposed method is an agglomeration of procedures beginning from the use of Minimum Mahalanobis Distance (MMD) in constructing a cluster phase to a bounded influence regression phase ...
Ekele Alih, Hong Choon Ong
openaire +1 more source