Problems of identification
By: Donald P. Gaver, Patricia A. Jacobs, I. O'Muircheartaigh, A. Medlrum
Contributors: Jacobs, Patricia A.; O'Muircheartaigh, I. G.; Meldrum, Andrew G.; Naval Postgraduate School (U.S.). Dept. of Operations Research
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1986
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 42
Subjects: ESTIMATES; ERROR ANALYSIS; PARAMETRIC ANALYSIS
Other titles: NPS-55-86-021.
Description: Several (I in number) observers cooperate to identify the member of a population of      items (J in number) transmitting. The observers' measurements of basic item-identifying      (known) parameters are error-prone; errors are frequently non-Gaussian      (gross-error-prone). Various methods are introduced and studied for combining the      observers; observations so as to achieve as high a probability of correct identification as      possible. Linear combinations of observations are shown to be less than satisfactory in      the environment described. Continuation and generalization of the work is in progress.      Keywords: robust estimation in a restricted parameter space; Cauchy and contaminated      normal measurement errors; maximum likelihood and Bayes estimates; the      discrimination problem.
Notes: Title from cover.

"NPS-55-86-021."

"November 1986."

AD A178 555.

Includes bibliographical references (p. 30).

aq/aq cc:9116 04/23/98