Abstract
Analytical way is given to determine the error (Q or q) of the sample medians for arbitrary (i.e., also for very small) sample sizes. The also presented Monte Carlo solution is computer time consuming but valid for whatever estimates, too, e.q., for the most frequent values.
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References
Cramér H 1945: Mathematical Methods of Statistics. Almqvist and Wiksells, Uppsala
Huber P J 1981: Robust Statistics. Wiley, New York
Steiner F ed. 1997: Optimum Methods in Statistics. Akadémiai Kiadó, Budapest
Steiner F, Hajagos B 1998: Acta Geod. Geoph. Hung., 33, 259–277.
Steiner F, Hajagos B. 1999a: Acta Geod. Geoph. Hung., 34, 59–64.
Steiner F, Hajagos B 1999b: Acta Geod. Geoph. Hung., 34, 65–69.
Steiner F, Hajagos B 2000: P-norm based statistical procedures are more efficient than L1-based ones for all error-types of the complete supermodel fc(x). Acta Geod. Geoph. Hung. (present issue)
Vincze J 1968: Mathematical Statistics (in Hungarian). Műszaki Könyvkiadó, Budapest
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Csernyák, L., Hajagos, B. & Steiner, F. Analytical Determination of QMed ( I.E., of the Error of Sample Medians) for Arbitrary \(\underset{\raise0.3em\hbox{$\smash{\scriptscriptstyle-}$}}{n}\) Sample Size. Acta Geod. Geoph. Hung 35, 283–294 (2000). https://doi.org/10.1007/BF03325618
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DOI: https://doi.org/10.1007/BF03325618