Basic Dean-Dixon outlier test
[outlierfree] = ST_deandixon(v, p) [outlierfree, outlier] = ST_deandixon(v, p)
vector of numerical values
statistical confidence level (%) as a string or the level of significance (alpha) as a decimal value, "95%", "99%", "99.9%" or 0.05, 0.01, 0.001 resp (see examples).
vector of outlier-free data
vector of outliers
Performs the basic Dean-Dixon outlier test. It sorts the distribution in ascending or descending order, then takes the minimum and maximum values (xi) and calculates the respective Q value for both xi values. This is compared with the critical value from a table (Qcrit). If one of the two or both Q values greater than the corresponding Qcrit value, one orboth xi values are outliers.
Only one outlier can be found on each side.
![]() | Apply this test ONLY one time to your data. |
![]() | Do use ST_deandixon ONLY with NORMAL distributed data and with more than 3 and less than 30 values! For more than 30 values use Pearson-Hartley test ""ST_pearsonhartley()"" instead. |
Lohringer, H., "Grundlagen der Statistik", Oct, 10th, 2012, http://www.statistics4u.info/fundstat_germ/cc_outlier_tests_4sigma.html