Results 31 to 40 of about 1,555,294 (317)
Application of genetic algorithm with multiple linear regressions for prediction of medicinal activity pyrazole derivatives [PDF]
شیمی کاربردی روز, 2011 Quantitative structure-activity relationship (QSAR) study for prediction of medicinal activity of pyrazole derivatives is developed using structural descriptors and multiple linear regression (MLR) method.
Mehdi Nekoe +3 more
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Jurnal Pendidikan Ekonomi dan Bisnis (JPEB), 2016 The aim of this study was to determine the effect of leadership style, motivation and compensation to employees performance of PT. Sumber Inti Pangan, Tangerang. Data taken in this research is 99 people taken by random sampling. Data were collected using
Aloyius Harry Triyanto +2 more
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Multiple Regression: Methodology and Applications
Highlights in Science Engineering and Technology, 2023 Multiple regression is one of the most significant forms of regression and has a wide range of applications. The study of the implementation of multiple regression analysis in different settings contributes to the development of relevant theories and the
Yiming Sun +3 more
semanticscholar +1 more source
Inference on locally ordered breaks in multiple regressions [PDF]
, 2017 We consider issues related to inference about locally ordered breaks in a system of equations, as originally proposed by Qu and Perron (2007 Qu, Z., Perron, P. (2007). Estimating and testing structural changes in multivariate regressions. Econometrica 75:
Li, Ye, Perron, Pierre
core +1 more source
Analysis of Gamasyab River Flood by Multi-Regression Method [PDF]
جغرافیا و پایداری محیط, 2013 Estimating flood hit areas with limited or no statistical significant issues in the design of water structures and water resources management is a very important topic especially in arid and semi-arid areas.
Nabe Khazaei +2 more
doaj
Journal of Saudi Chemical Society, 2016 A quantitative structure–activity relationship (QSAR) was performed to analyze antimalarial activities of 68 urea derivatives using multiple linear regressions (MLR).
Abolghasem Beheshti +3 more
doaj +1 more source
Multiple Linear Regressions for Predicting Rainfall for Bangladesh
, 2018 Agricultural economy is largely based upon crop productivity and rainfall. For analyzing the crop productivity, rainfall prediction is require and necessary to all farmers.
Mai Navid, Nh Niloy
semanticscholar +1 more source
Forecasting residential electric power consumption for Bogotá Colombia using regression models
Energy Reports, 2020 This study presents three models of multiple linear regressions for forecasting energy demand. The first is a simple multiple linear regression, the second model has an economic interpretation of coefficients (econometric), while the third model is ...
Carlos Peña-Guzmán, Juliana Rey
doaj +1 more source
AtmosphereThe goal was to model irrigated (IBY) and rainfed (RBY) bean yields in central (Culiacán) and southern (Rosario) Sinaloa state as a function of the essential climate variables soil moisture, temperature, reference evapotranspiration, and precipitation ...
Omar Llanes Cárdenas +5 more
doaj +1 more source
Understanding of groundwater salinity using statistical modeling in a small tropical island, East Malaysia [PDF]
, 2011 This paper presents an understanding of groundwater salinity by identification of effective factors using chemometric methods (cluster analysis and multiple linear regressions) in Manukan Island, Sabah. Local groundwater and environmental properties were
Abdullah, Mohd Harun +3 more
core +1 more source