Community Research and Development Information Service - CORDIS

Abstract

The DoD-method for measurement data evaluation allows meaningful estimation of variances or standard deviations without the necessity to reject outlier values. It has been developed at KfK in particular for evaluating analytical data. The basic elements used for statistical treatment are all D = ((N-1)*N/2) absolute differences that can be formed between N measurement values. For N<or=10 it is shown that the D absolute differences can be divided into (N-1) subgroups, each of them consisting of N/2 stochastically independent elements. Furthermore, a relationship is given between the estimates for the standard deviations of the subgroups and the estimate for the standard deviation of the total group of absolute differences. Numerical examples are presented.

Additional information

Authors: BEYRICH W KERNFORSCHUNGSZENTRUM KARLSRUHE GMBH, KARLSRUHE (GERMANY), KERNFORSCHUNGSZENTRUM KARLSRUHE GMBH, KARLSRUHE (GERMANY)
Bibliographic Reference: FOR FULL-SIZE VERSION WRITE TO KERNFORSCHUNGSZENTRUM KARLSRUHE GMBH, POSTFACH 3640, 7500 KARLSRUHE 1, MENTIONING KFK 4077; FOR MICROFICHE WRITE TO EUROFFICE, LUXEMBOURG, POB 1003 MENTIONING EUR 9616 EN (1986), 18 P., BFR 150
Availability: Can be ordered online
Record Number: 1989125016200 / Last updated on: 1987-02-01
Category: PUBLICATION
Available languages: en