Hostname: page-component-7b7567c8c-tnzcf Total loading time: 0 Render date: 2026-11-13T13:10:58.362Z Has data issue: false hasContentIssue false
  • English
  • Français

Further Analyses of Position Errors in Navigation

Published online by Cambridge University Press:  23 November 2009

D. A. Hsu
D. A. Hsu
Affiliation:
(University of Wisconsin-Milwaukee)
Get accessRights & Permissions [Opens in a new window]

Extract

In a recent paper the author reported a distribution theory which rationalizes some fairly well established phenomena in navigational errors. Adequacy of the implied model and other existing models was investigated in the light of empirical evidence. A summary of the findings has been available in a previous issue of this Journal.

This paper provides further insights into several theoretical models, establishes formal procedures for the estimation of parameters crucial to the evaluation and design of navigational systems and investigates the potentials of a broader system of distribution models. In addition, some simplified results aiming at practical use for navigators and air traffic control authorities are provided. A real-world application of the suggested methods and theoretical results is also demonstrated.

Information

Type
Marine Traffic Studies
Information
The Journal of Navigation , Volume 33 , Issue 3 , September 1980, pp. 452 - 474
Copyright
Copyright © The Royal Institute of Navigation 1980

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

REFERENCES

1Hsu, D. A. (1979). Long-tailed distributions for position errors in navigation. Journal of the Royal Statistical Society, Series C (Applied Statistics), 28, 62–72.Google Scholar
2Hsu, D. A. (1979). An analysis of error distributions in navigation (with comments by E. W. Anderson). This Journal, 32, 426.Google Scholar
3Busch, A. C.Colamosca, B. and VanderVeer, J. R. (1977). Collision Risk and Economic Benefit Analysis of Composite Separation for the Central East Pacific Track System. U.S. Department of Transportation, Federal Aviation Administration, report no. FAA-EM-77–5.Google Scholar
4Rao, C. R. (1965). Linear Statistical Inference and Its Applications. John Wiley, New York.Google Scholar
5Box, G. E. P. and Tiao, G. C. (1973). Bayesian Inference in Statistical Analysis. Addison-Wesley, Reading, Mass.Google Scholar
6Reich, P. G. (1966). Analysis of long-range air traffic systems: separation standards: I. This Journal, 19, 88.Google Scholar
7Reich, P. G. (1966). Analysis of long-range air traffic systems: separation standards: II. This Journal, 19, 169.Google Scholar
8Reich, P. G. (1966). Analysis of long-range air traffic systems: separation standards: III. This Journal, 19, 331.Google Scholar
9Papoulis, A. (1957). A new method of inversion of the Laplace transform. Quarterly of Applied Mathematics, 14, 405.CrossRefGoogle Scholar