However, the multiple logistic regression model might suffer collinearity between the two MS scores, and the change in the direction of the association between caries incidence and saliva MS ...

Correlations and multiple linear regressions were used to develop models relating well water chemical quality parameters to a set of independent chemical variables in post- and pre-monsoon seasons in ...

Jie Peng, Pei Wang, Nengfeng Zhou, Ji Zhu, Partial Correlation Estimation by Joint Sparse Regression Models, Journal of the American Statistical Association, Vol. 104, No. 486 (June 2009), pp. 735-746 ...

Enhance your skills in energy statistical analysis with our expanded three-day workshop. Dive deep into crucial topics like risk quantification and pricing models using practical exercises in Excel.

Offers an alternative to Markowitz’s “Portfolio Selection”. Outlines the nuts and bolts of correlation between past and future performance, or between expected and actual returns. Explains ...

The course is designed for students with a good working knowledge of elementary descriptive statistics; sampling distributions; one and two sample tests for means and proportions; correlation and the ...

For example, a model might estimate sales based on age and gender. A regression analysis yields an equation that expresses the relationship. See correlation. THIS DEFINITION IS FOR PERSONAL USE ONLY.

Application of Regression Analysis in Business. Regression is a statistical tool used to understand and quantify the relation between two or more variables. Regressions range from simple models to ...

Downloads TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December ...