Accession Number : ADA266528


Title :   An Empirical Evaluation of Five Circular Error Probable Estimation Techniques and a Method for Improving Them


Descriptive Note : Master's thesis,


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSONAFB OH SCHOOL OF ENGINEERING


Personal Author(s) : Tongue, William L


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a266528.pdf


Report Date : 10 Mar 1993


Pagination or Media Count : 339


Abstract : This study compared five CEP estimation techniques under the assumption that the crossrange and downrange miss distances of the sample data follow a bivariate normal distribution. The analysis determined the sensitivities of these models to changes in sample size, bias, correlation, and ellipticity in terms of three measures of effectiveness: Mean relative error (RE), variance of RE, and mean squared error (MSE) of RE. In general, it was found that sample size was the most significant parameter in determining the best CEP method. Mean RE provided a 'strong' distinction between estimators, while variance and MSE provided 'weak' distinctions between estimators. An attempt to improve one of the better estimation techniques using least squares regression proved quite successful.... Circular error probable, CEP.


Descriptors :   *STATISTICAL DATA , *STATISTICAL SAMPLES , *CIRCULAR ERROR PROBABLE , PARAMETERS , COMPARISON , THESES , ESTIMATES , CORRELATION , ERRORS , MEAN , BIAS , MISS DISTANCE , NORMAL DISTRIBUTION


Subject Categories : Statistics and Probability


Distribution Statement : APPROVED FOR PUBLIC RELEASE