Regression Analysis A linear regression analysis was performed to study the association between GDP per capita of a journal's country of publication and IF. When excluding 2 outliers, there was a small but statistically significant positive correlation between GDP per capita and journal IF (β = ...
Home Journal of Petroleum Exploration and Production Technology Article Multiple linear regression and gene expression programming to predict fracture density from conventional well logs of basement metamorphic rocksOriginal Paper - Exploration Geophysics Open access Published: 20 April 2024 Volume 14, pages...
We consider model averaging estimation problem in the linear regression model with missing response data, that allows for model misspecification. Based on
Mohamed WaleedOday Abdulhussein KareemDunya Abdulmunem Mohamed
linear regression analysis; dimensional analysis (DA); forecast; mean square error; patterns; tendency MSC: 68T10; 68T30; 62J86; 68T37; 68V30; 60A86; 62F07; 62H301. Introduction Linear regression (LR) model utilized in numerous areas of application [1]: for example, engineering, ...
(2023). Sustaining Construction Organisations in NZ: A Linear Regression Model Approach to Analysing Determinants of Their Performance. Sustainability, 15(5), 4143. https://doi.org/10.3390/su15054143 Note that from the first issue of 2016, this journal uses article numbers instead of page ...
Richard D.HayesBSc (Hons), ...ChristopherFairleyMBBS, PhD, inThe Journal of Sexual Medicine, 2007 Statistical Analysis A multiple linear regression model was constructed for the reported response rates of studies investigating the prevalence of female sexual difficulties. All statistical analyses were ...
Abstract Crop yield and its prediction are crucial in agricultural production planning. This study investigates and predicts arabica coffee yield in order to match the market demand, using artificial neural networks (ANN) and multiple linear regression (MLR). Data of six variables, including areas, ...
Multiple linear regression (MLR) analysis according to least-squares procedures is normally applied to estimate model equation coefficients. Many researchers have conducted studies on UHPC materials, the effects of additives on concrete durability, and compressive strength. Charhate et al.35used ANN and...
2013. “A Blockwise Descent Algorithm for Group-Penalized Multiresponse and Multinomial Regression.” Simon, Noah, Jerome Friedman, Trevor Hastie, and Robert Tibshirani. 2011. “Regularization Paths for Cox’s Proportional Hazards Model via Coordinate Descent.” Journal of Statistical Software, Articles ...