Some Estimators of the Dispersion Parameter of a Chi-distributed Radial Error with Applications to Target Analysis

Authors

  • Sharad Saxena Institute of Management, Nirma University of Science & Technology, Ahmedabad, India
  • Housila P. Singh School of Studies in Statistics, Vikram University, Ujjain, India

DOI:

https://doi.org/10.17713/ajs.v34i1.398

Abstract

The dispersion parameter of a chi-distributed radial error is of interest in numerous target analysis problems as a measure of weapon-system accuracy, and it is often of practical importance to estimate it. This paper presents a few classical estimators including the maximum likelihood estimator, an unbiased estimator and a minimum mean squared error estimator of this dispersion for both when the origin or “center of impact” is known
or can be assumed as known and when it is unknown. Some families of shrinkage estimators have also been suggested when a prior point estimate of the dispersion parameter is available in addition to sample information. The estimators of circular error probable and spherical error probable have been obtained as well. A simulation study has been carried out to demonstrate the performance of the proposed estimators.

References

Beyer, W. H. (1966). CRC Handbook of Tables for Probability and Statistics. Cleveland: Chemical Rubber.

Chapman, D. G., and Robbins, H. (1951). Minimum variance estimation without regularity assumptions. Annals of Mathematical Statistics, 22, 581-586.

Cohen Jr., A. C. (1955). Maximum likelihood estimation of the dispersion parameter of a chi-distributed radial error from truncated and censored samples with applications to target analysis. Journal of American Statistical Association, 59, 123-1135.

Eckler, A. R. (1988). Target coverage. In S. Kotz and N. L. Johnson (Eds.), Encyclopedia of statistical sciences (Vol. 9). New York: Wiley.

Groenewoud, C., Hoaglin, D. C., Vitalis, J. A., and Crutcher, H. L. (1967). Bivariate Normal Offset Circle Probability Tables with Offset Ellipse Transformations and Applications to Geolophysical Data. Buffalo, N.Y.: Cornell Aeronautical Laboratory, Inc.

Harter, H. L. (1960). Circular error probabilities. Journal of the American Statistical Association, 55, 794-800.

Harvey, B. R. (1994). Practical Least Squares and Statistics for Surveyors (2nd ed.). School of Geomatic Engineering, UNSW.

Kotz, S., and Johnson, N. L. (1982). Chi distribution. In S. Kotz and N. L. Johnson (Eds.), Encyclopedia of statistical sciences (Vol. 1). New York: Wiley.

Lowe, J. R. (1960). Circular error probabilities. Journal of Royal Statistical Society, B, 22, 176-187.

Moranda, P. B. (1959). Comparison of estimates of circular probable error. Journal of American Statistical Association, 54, 794-800.

Rizos, C. (1999). How good is GPS? http://www.gmat.unsw.edu.au/snap/gps/gps survey/chap2/243.htm. (SNAP-UNSW)

Scott, L. (1997, November). Linear, circular and spherical error probability manifolds. http://home.earthlink.net/»loganscott53//LSChome.htm.

Singh, H. P. (1992). Estimation of circular probable error. Sankhy¹a, B, 54, 289-305.

Singh, H. P., and Upadhyaya, L. N. (2003). Estimation of spherical error probable. (submitted)

Singh, N. (1962). Spherical probable error. Nature, 4815, 605.

Singh, N. (1970). Spherical probable error (SPE) and its estimation. Metrika, 15, 149-163.

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Published

2016-04-03

How to Cite

Saxena, S., & Singh, H. P. (2016). Some Estimators of the Dispersion Parameter of a Chi-distributed Radial Error with Applications to Target Analysis. Austrian Journal of Statistics, 34(1), 51–63. https://doi.org/10.17713/ajs.v34i1.398

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Articles