Some new diagnostic measures in discriminant analysis are proposed. They can be expressed in terms of the two fundamental influence statistics in discriminant analysis: d2 i and ψ̂i. A theorem on the ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

The Journal of Experimental Education publishes basic and applied-research studies that use the range of quantitative and qualitative methodologies found in the behavioral, cognitive, and social ...

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Eric's career includes extensive work in both public and corporate ...

This course is compulsory on the MSc in Data Science. This course is available on the MSc in Applied Social Data Science, MSc in Quantitative Methods for Risk Management, MSc in Statistics, MSc in ...

The objectives of the course are two-fold: To learn to use common parametric regression and classification modeling techniques to develop predictive models for medium to large data sets. Understand ...

This course is compulsory on the MSc in Data Science. This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Econometrics and Mathematical ...