Find a journal Publish with us Track your research Search Cart 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 rocks...
The results vividly demonstrate that the application of statistical analysis, specifically through multiple linear regression, can significantly reduce the number of numerical analyses required for calibration, by approximately 70%. This results in a numerical model that not only ensures a satisfactory and...
Twenty VIs derived from spectral reflectance were used as the input feature of a support vector regression (SVR) to predict GY at each growth stage. The predicted GY values at multiple growth stages were trained by multiple linear regression (MLR) to establish a second-level prediction model. ...
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 ...
A new equation proposed by multiple linear regression Our second theoretical method aimed to determine the relationship between the local bond stress,u, and the four variablesc, d_{b} , l,andf_{c}^{\prime }. We assumed three of our four variables to be fixed in different steps, in ord...
The article summarizes a current multilevel (or hier... CA Wendorf - 《Structural Equation Modeling A Multidisciplinary Journal》 被引量: 59发表: 2002年 Dealing With Dependence (Part II): A Gentle Introduction to Hierarchical Linear Modeling In education, most naturally occurring data are ...
Fig. 3. The result of a multiple linear regression analysis on the trait persistence (y-axis) with conscientiousness, anhedonia, apathy, the overall difference in SCs (ie, asymmetrical SCs), and the task bias, together (ie, the standard regression value on the x-axis) explaining 41% of th...
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). Dat
In addition, we extracted (6) study location (United States, Europe, or other) and (7) publication status (published in peer-reviewed journal vs dissertation or report). To avoid oversampling effect size estimates from individual studies, only the total study’s sexting prevalences of sending,...
(2019). Predicting publication long-term impact through a combination of early citations and journal impact factor. Journal of Informetrics, 13(1), 32–49. Article Google Scholar Abrishami, A., & Aliakbary, S. (2019). Predicting citation counts based on deep neural network learning ...