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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 […]

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