Correction of data-quality induced bias

Details Correction of data-quality induced bias Correction of data-quality induced bias

Nov 1983

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1983esasp.201...77p&link_type=abstract

In ESA Statist. Methods in Astron. p 77-79 (SEE N84-19196 09-89)

Mathematics

Probability

Bias, Maximum Likelihood Estimates, Probability Theory, Statistical Analysis, Nonlinear Equations, Optimization, Statistical Distributions

Scientific paper

A minimum-information method is described which implements incomplete data into distributions and thus removes a bias caused by the different quality of data. The data input form is discussed in detail and illustrated by examples. The non-linear set of equations for the distribution probabilities can in general only be solved numerically. The author illustrates the method by a numerical example and by a practical result. He also shows the relation of this method to principal-component analysis.

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