MPR is a new method in statistical estimation in that it gains sample information from the point arrangement along the model curve. The calculus of this ‘longitudinal advancing’ foots on the theory of runs (`iterations`). Objective function is the pdf of the items. Solution is an interval of equivalent parameters. The method is not sensitive to the data error distribution and exhibits a specific sample symmetry. On basis of the idea non-linearity is ‘identically abandoned’. MPR can substitute hypothesis testing. Optimality is postulated by a transcendent presentation of evidence and by a stochastic isomorphy. MPR reveals properties known from quantum mechanics.- Drawback is that the scopes of the observation samples must be moderate; this limitation is forced by the maximum integer value (i.e. the internal bus size) of the machine.
Keywords: Cluster, estimation interval, hypothesis testing, model, non-linear regression, non-normal error distribution, outlier, quantile regression, robustness, residual
|Download:||ABOUT THE NOVEL MPR SYMMETRATION ESTIMATOR (PDF, 2,5 MB)|
Herausgeber und Autor: Bernhard R. Markowski · Bahnhofstrasse 72 · D-36341 Lauterbach
Überarbeitete Version November 2016 / revised version november 2016