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Simple and multiple regression: application in the prediction of natural variables related to microalgae growing processRegresión lineal simple y múltiple: aplicación en la predicción de variables naturales relacionadas con el crecimiento microalgal

Carrasquilla-Batista, Arys; Chacón-Rodríguez, Alfonso; Núñez-Montero, Kattia; Gómez-Espinoza, Olman; Valverde-Cerdas, Johnny; Guerrero-Barrantes, Maritza

Discharge Moisture Prediction of the Corn Gluten Feed Drying Process Using Machine Learning Algorithms

Garay-Gutiérrez, Adrian J. (ITESO, 2022-11)

Discharge Moisture Prediction of the Corn Gluten Feed Drying Process Using Machine Learning Algorithms

Garay-Gutiérrez, Adrian J. (ITESO, 2023)

Improving regional dynamic downscaling with multiple linear regression model using components principal analysis: precipitation over Amazon and Northeast Brazil

Silva, Aline Gomes da; Silva, Claudio Moisés Santos e (Hindawi Limited, 2014-07-10)

ESTIMATION PRECISION OF MULTIPLE REGRESSION BY RESPONSE VARIABLE DECOMPOSITION

Pedro Pérez Villanueva (2007)

Optimal pricing model based on reduction dimension: A case of study for convenience stores

Oscar Alejandro Esquivel Flores; Laura Hervert Escobar; Raúl Valente Ramírez Velarde

Going Above and Beyond: A Tenfold Gain in the Performance of Luminescence Thermometers Joining Multiparametric Sensing and Multiple Regression

University of Aveiro; Universidade Estadual Paulista (UNESP); Universidade Autónoma de Madrid; Massachusetts Institute of Technology (2021-01-01)

Luminescence thermometry has substantially progressed in the last decade, rapidly approaching the performance of concurrent technologies. Performance is usually assessed through the relative thermal sensitivity, Sr, and ...

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Simple and multiple regression: application in the prediction of natural variables related to microalgae growing processRegresión lineal simple y múltiple: aplicación en la predicción de variables naturales relacionadas con el crecimiento microalgal

Discharge Moisture Prediction of the Corn Gluten Feed Drying Process Using Machine Learning Algorithms

Discharge Moisture Prediction of the Corn Gluten Feed Drying Process Using Machine Learning Algorithms

Improving regional dynamic downscaling with multiple linear regression model using components principal analysis: precipitation over Amazon and Northeast Brazil

ESTIMATION PRECISION OF MULTIPLE REGRESSION BY RESPONSE VARIABLE DECOMPOSITION

Optimal pricing model based on reduction dimension: A case of study for convenience stores

Going Above and Beyond: A Tenfold Gain in the Performance of Luminescence Thermometers Joining Multiparametric Sensing and Multiple Regression

Productivity analysis of LHD equipment using the multiple linear regression method in an underground mine in Peru

Multiple linear regression model applied to the projection of electricity demand in Colombia

Contribuições em modelos de regressão com erro de medida multiplicativo

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Simple and multiple regression: application in the prediction of natural variables related to microalgae growing processRegresión lineal simple y múltiple: aplicación en la predicción de variables naturales relacionadas con el crecimiento microalgal

Discharge Moisture Prediction of the Corn Gluten Feed Drying Process Using Machine Learning Algorithms

Discharge Moisture Prediction of the Corn Gluten Feed Drying Process Using Machine Learning Algorithms

Improving regional dynamic downscaling with multiple linear regression model using components principal analysis: precipitation over Amazon and Northeast Brazil

ESTIMATION PRECISION OF MULTIPLE REGRESSION BY RESPONSE VARIABLE DECOMPOSITION

Optimal pricing model based on reduction dimension: A case of study for convenience stores

Going Above and Beyond: A Tenfold Gain in the Performance of Luminescence Thermometers Joining Multiparametric Sensing and Multiple Regression

Productivity analysis of LHD equipment using the multiple linear regression method in an underground mine in Peru

Multiple linear regression model applied to the projection of electricity demand in Colombia

Contribuições em modelos de regressão com erro de medida multiplicativo