Testing Ballistic Dispersion When the Aim Point Is Unknown
DOI:
https://doi.org/10.2298/YJOR250215003BKeywords:
Quality Assurance, dispersion, aim pointAbstract
In this paper, we point out a fundamental error in the procedures used to measure ballistic dispersion. We argue that there are two components to a proper measure of dispersion: i) dispersion arising from the ‘unknown’ aim point and ii) dispersion caused by the cloud, which can be measured directly from the sample mean point of impact. The procedures currently in use only take into account the cloud dispersion, and thus, underestimate the actual (total) dispersion. These procedures fail to recognize the existence of the fixed ”aim point”. As a result, incorrect conclusions may be drawn. An elementary correction to the underlying statistics corrects this error when the fall of shot follows a circular normal distribution.
References
R. V. Hogg and A. T. Craig, Introduction to Mathematical Statistics, 4th ed. New York, NY, USA: Macmillan Publishing Co., 1978.
W. J. Hurley, ”Acceptance sampling procedures for ballistic dispersion,” Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, vol. 5, no. 1, pp. 21–32, 2008.
W. J. Hurley, J. Brimberg, and A. Pavlov, ”Measuring ballistic dispersion for the purpose of ammunition quality assurance,” in Operations Research, Engineering, and Cyber Security: Trends in Applied Mathematics and Technology, N. J. Daras and T. M. Rassias, Eds. Cham, Switzerland: Springer International Publishing, 2017, pp. 317–330.
R. F. Love, J. G. Morris, and G. O. Wesolowsky, Facilities Location: Models & Methods. New York, NY, USA: North-Holland, 1988.
C. A. Rabbath and D. Corriveau, ”A statistical method for the evaluation of projectile dispersion,” Defence Technology, vol. 13, no. 3, pp. 164–176, 2017.
C. R. Rao, Linear Statistical Inference and Its Applications, 2nd ed. New York, NY, USA: John Wiley & Sons, 1973.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Yugoslav Journal of Operations Research

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.