USING AN EXTENDED LEAST SQUARES MODELTO FIND GROSS ERRORS IN A SERIES OF MULTPLE MEASUREMENTS
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Abstract
To find gross errors in a series of repeatedly measured values of one quantity, an extended model of the least squares method is used, in which gross errors are included in the determined values. The final localization of gross errors is carried out on the basis of statistical testing according to the obtained one-dimensional algorithm based on the data snooping algorithm developed in the 50s by the Dutch surveyor Baarda.
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References
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