BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

Standardized regression coefficients are difficult to translate into business terms, but they are directly comparable. This allows you to determine which variables in your final model are really ...

To address this issue, they further utilized nonlinear multiple regression analysis to study the combined effects of water content and other soil parameters.

To address this issue, they further utilized nonlinear multiple regression analysis to study the combined effects of water content and other soil parameters.

Learn how to perform regression analysis of your data in Microsoft Excel, a statistical process that helps you understand the relationship ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

Following the obtained results it is indicative that the fuzzy RBFN regression model outperforms conventional fuzzy nonlinear and multiple regression models and provides more accurate results for ...

Excluding secondary factors and reserving decisive factors of steel properties, relationship between the properties of deformed steel bar and chemical elements is analyzed by applying stepwise ...

The full name of NAR neural network is nonlinear autoregressive neural network [18] , which is proposed relative to the linear autoregressive model, using its own historical data as regression ...