Multiple Linear Regression
Método da Regressão Linear Múltipla Aplicado na Calibração de Sensores Inerciais/Multiple Linear Regression Method Applied in Calibration of Inertial Sensors
... Inertial Navigation Systems (NIS) use accelerometers and gyroscopes as main sensors. In a NIS, the calculation of a vehicle's position, velocity and heading is performed by processing the signals from gyros and ...
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Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
... and multiple linear regression (MLR), found that the neural-network method performed better than the linear- regression method, although both showed good performance for monthly and ...
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Egg Hatchability Prediction by Multiple Linear Regression and Artificial Neural Networks
... a multiple linear regression statistical method to predict hatchability in an artificial incubation ...the multiple linear regression model, which used coefficients determined by ...
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Indicadores de Desenvolvimento Sustentável: Uma Análise Quantitativa utilizando o modelo de Regressão Linear Múltipla / Sustainable Development Indicators: A Quantitative Analysis Using the Multiple Linear Regression Model
... the multiple linear regression model to demonstrate the behavior of these variables, and it was found that GDP remained high and stable over the time horizon, reflecting inversely to inflation ...
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rev. educ. fis. vol.19 número4
... study. Multiple linear regression (MLR) was used considering mean speed of maximum 100, 200 and 400 m efforts as dependent variables, and five parameters groups as possible predictors (anthropometry, ...
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Modeling of RO/NF membrane rejections of PhACs and organic compounds: a statistical analysis
... with Multiple Linear Regression, we also may conclude that membrane rejection of neutral compounds was well predicted by molar volume, length, equivalent width, hy- drophobicity/hydrophilicity and ...
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Rev. Bras. Pesq. Tur. vol.11 número3
... using multiple linear regression technique, and the results indicate a significant and positive relationship between the search for happiness in the tourist experience and the desire for local ...
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Braz. J. Phys. Ther. vol.18 número1
... Background: Multiple factors can inluence the severity of chronic obstructive pulmonary disease (COPD) and the functioning of patients with COPD, such as personal characteristics and systemic ...using ...
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Rev. Assoc. Med. Bras. vol.58 número2 en v58n2a15
... Methods: Multiple linear regression was used to investigate the association between ul- trasonographic variables of body fat compartments (BFCs) of the face, arm, subcutane- ous and visceral abdomen, ...
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Relationship Between Color and Tannin Content in Sorghum Grain: Application of Image Analysis and Artifi cial Neural Network
... of multiple linear regression and artificial neural network (ANN) models were developed to describe tannin content in sorghum grain from three input parameters of color ...
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Clay content drives carbon stocks in soils under a plantation of Eucalyptus saligna Labill. in southern Brazil
... through multiple linear regression, the influence that certain chemical characteristics of litter, as well as chemical and physical characteristics of soil, have on carbon accumulation in soil ...
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PREDICTING KAPPA NUMBER IN A KRAFT PULP CONTINUOUS DIGESTER: A COMPARISON OF FORECASTING METHODS
... Abstract - This paper discusses kappa number prediction models using Single Exponential Smoothing, Multiple Linear Regression Analysis, the Time Series Method of Box-Jenkins (ARIMA) and Artificial ...
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Rev Bras Med Esporte vol.19 número2
... the linear regression have been observed, the multi colinearity among the independent variables was tested in an attempt to avoid errors caused by the results bias between variables, making any estimation ...
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Rev. paul. pediatr. vol.35 número4
... the multiple linear regression model for the functioning domain: approx‑ imately 14% of the functional impairment can be explained by poorer health ...
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Campina Grande, PB, UAEAUFCG – http:www.agriambi.com.br ISSN 1807-1929 v.21, n.4, p.261-266, 2017
... polynomial regression models in the estimation of the ideal dose of the regulator and of multiple linear regression in the simulation of grain yield through oat panicle ...
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Rev. Nutr. vol.29 número1
... and multiple linear regression and 95% Confidence Intervals (95%CI) verified the association between various chronic diseases and handgrip ...three regression models for chronic disease and ...
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Braz. j. oceanogr. vol.60 número2
... Monthly distribution of males and females of Lucifer faxoni in each size class based on somite length.. Multiple Linear Regression of the mean catch of Lucifer faxoni.[r] ...
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Úlcera por pressão: risco e gravidade do paciente e carga de trabalho de enfermagem
... The identification of factors associated with the risk of PU was made using multiple linear regression, with Braden Scale scores as dependent variables and nursing workload, severity, ag[r] ...
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Application of Receptor Models on Water Quality Data in Source Apportionment in Kuantan River Basin
... receptor models techniques that involved varimax factor from principal components analysis (PCA) with two dif- ferent data based on multiple linear regression (MLR) and artificial neural network ...
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Fisioter. Pesqui. vol.22 número2
... (multiple linear regression), it was observed that gender and pharmacological treatment may inluence the functional status of elderly with OA, whereas women and medicated individuals are those ...
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