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The perfect regression and causality test: A solution to regression problems


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We introduce a method that eliminates the specification error and spurious relationships in regression. In addition, we introduce a test of strong causality. Furthermore, hypothesis testing (inference) becomes almost unneeded. Moreover, this method virtually resolves error problems such as heteroscedasticity, autocorrelation, non-stationarity and endogeneity.

eISSN:
1896-3811
Idioma:
Inglés
Calendario de la edición:
2 veces al año
Temas de la revista:
Life Sciences, Bioinformatics, other, Mathematics, Probability and Statistics, Applied Mathematics