A parametric framework for multidimensional linear regression

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Dr Stanley Luck has developed a new framework for multidimensional linear regression which provides a more general framework for establishing measurement error regression when data may be subject to error

While Ordinary Least Squares regression establishes fundamental concepts in data analysis, it requires the independent variable to be error-free and the error term to be constant. Dr Stanley Luck, statistics consultant and founding member of Vector Analytics LLC in the US, has developed an innovative parametric framework for multidimensional linear regression. This provides a more general framework for establishing measurement […]

Nonoverlap proportion and the point-biserial association problem

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Stanley Luck has a general interest in mathematical problems and associated algorithms for cloud computing technology.

Dr Stanley Luck, a statistics consultant and founding member of Vector Analytics LLC, has developed a novel algorithm for cloud computing technology. Dr Luck demonstrates the use of his improved CART association algorithm in a high-dimensional search problem of nursing home performance, based on the publicly accessible Nursing Home Compare (NHC) database. The results highlight the importance of constructing a […]