The Unscientific Incompleteness and Bias of Unidirectional Projections (= Regressions): A Questionnaire
Why do statisticians (econometricians, economists, financial analysts, etc.) continue to incompletely identify the algebraic/geometric structure of the multi-variate data series they profess to analyze, and instead continue to publish the results of incomplete, prejudiced and biased unidirectional projections (= 'regressions') of such covariance structures? Such incomplete, prejudiced and biased representations cannot lead to scientific knowledge, as has been demonstrated already more than twenty years ago.
|Date of creation:||26 Oct 2004|
|Note:||Type of Document - pdf; pages: 6. Please, respond to this questionnaire with polite and concise answers. Your contibution will be properly acknowledged.|
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- R.E. Kalman & C.A. Los, 1987. "The prejudices of least squares, principal components and common factor schemes," Research Paper 8701, Federal Reserve Bank of New York.
- Cornelis A. Los, 1987. "Identification of a linear system from inexact data: a three variable example," Research Paper 8703, Federal Reserve Bank of New York.
- Cornelis A. Los, 2004.
"Galton's Error and the Under-Representation of Systematic Risk,"
- Los, Cornelis A., 1999. "Galton's Error and the under-representation of systematic risk," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1793-1829, December.
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