Computer Science – Information Theory
Scientific paper
Feb 1986
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1986kfnt....2...88d&link_type=abstract
Kinematika i Fizika Nebesnykh Tel (ISSN 0233-7665), vol. 2, Jan.-Feb. 1986, p. 88-94. In Russian.
Computer Science
Information Theory
Astrometry, Error Analysis, Instrument Errors, Accuracy, Entropy, Statistical Distributions
Scientific paper
Information theory indicates that classical techniques for estimating the accuracy of series of astrometric observations are suitable only when their errors follow the Gaussian distribution. It is proposed that a generalized standard error be used when these errors have a significant, nonzero excess. It is shown that the failure to take into account the excess in the error distribution sometimes leads to a more-than-sixfold underestimation of the variance of the standard error.
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