Results 161 to 170 of about 15,501 (203)
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Regression coefficients in multilinear PLS

Journal of Chemometrics, 1998
Three alternative approaches are discussed for finding the final calibration model (regression coefficients) in PLS regression of k-way Y on N-way X. The simplest approach is to skip the deflation of the X-data. From the observation that the specific deflation used in multiway PLS is inconsequential, it also follows that Bro's tri-PLS is equivalent to ...
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Prediction of Sweetness by Multilinear Regression Analysis and Support Vector Machine

Journal of Food Science, 2013
Abstract The sweetness of a compound is of large interest for the food additive industry. In this work, 2 quantitative models were built to predict the logSw (the logarithm of sweetness) of 320 unique compounds with a molecular weight from 132 to 1287 and a sweetness from 22 to 22500000.
Min, Zhong   +4 more
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Regression: Linear, Curvilinear and Multilinear

2003
Previously, we mainly dealt with univariate statistics, for observations that constitute a single measurement. They were presented in frequency-distribution graphs. The next step is to understand systems where each observation comprises measurements of two different variables, x and y using approaches of bivariate statistics.
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Revised Multilinear Regression Equations for Prediction of Lateral Spread Displacement

Journal of Geotechnical and Geoenvironmental Engineering, 2002
In 1992 and 1995, Bartlett and Youd introduced empirical equations for the prediction of lateral spread displacement; these equations have gained wide use in engineering practice. The equations were developed from the multilinear regression (MLR) of a large case history database. This study corrects and updates the original analysis.
T. Leslie Youd   +2 more
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Influence of nonlinearities on estimates of respiratory mechanics using multilinear regression analysis

Journal of Applied Physiology, 1994
To investigate the influence of nonlinearities on estimates of respiratory mechanics, differing patterns of mechanical ventilation patterns were analyzed from 8 puppies and 14 children. Respiratory mechanics were calculated using multiple linear regression to fit a linear single-compartment model, a volume-dependent single-compartment model (VDSCM ...
Kano, S. H.   +3 more
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Predictive population behavior analysis from multiple contexts with multilinear poisson regression

Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018
Predicting behaviors of a population from location-oriented log data from smartphones, i.e., urban population dynamics, has become more common in mobile and pervasive computing. A bilinear representation approach has been proposed to improve the prediction accuracy of urban population dynamics by adding contexts such as geographical information and day
Masamichi Shimosaka   +3 more
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Development of Multilinear Regression Models for Online Voltage Stability Margin Estimation

IEEE Transactions on Power Systems, 2011
This paper investigates the use of reactive power reserves (RPR) as an indicator to estimate voltage stability margin (VSM) in an online environment. The methodology relies upon the relationship between system-wide RPRs and VSM. Statistical multilinear regression models (MLRM) are utilized in order to express how variations in RPRs can be transformed ...
Bruno Leonardi, Venkataramana Ajjarapu
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DETERMINATION OF FACTORS AFFECTING BANK PROFITS: COMPARISON OF MULTILINEAR REGRESSION AND GRADIENT BOOSTING REGRESSION METHODS

2022
Finansal sistem içerisinde, bankalar oldukça önemli bir yere sahiptir. Geleneksel işletmeler gibi bankalarda da faaliyetlerinin temel amacı sürdürülebilir şekilde kâr elde etmektir. Bankacılık sektöründe finansal veya beşerî kaynakların yönetimi doğrudan banka kârlılığını etkileyen faktörler içerisindedir.
COŞKUNER, Abdurrahman   +1 more
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Behavioural prediction of stabilised soils using multilinear regression approach

AIP Conference Proceedings, 2022
Manisha Gunturi, P. T. Ravichandran
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Spectroscopic Estimation of Tramadol using Multilinear Regression Analysis

Research Journal of Pharmacy and Technology, 2020
R Naveen Kumar   +2 more
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