Accession Number : ADA134078

Title :   Nonlinear Regression Analysis Methodology for the Estimation of Detection Probabilities from Empirical Data.

Descriptive Note : Final rept. FY 82,

Corporate Author : COMPUTER SCIENCES CORP SAN DIEGO CALIF

Personal Author(s) : Hofmockel,J L

PDF Url : ADA134078

Report Date : Sep 1982

Pagination or Media Count : 477

Abstract : The Naval Ocean Systems Center (NOSC) was tasked by NAVELEX 612 under the subject of empirical detection analysis to develop techniques for estimating detection probabilities. Computer Sciences Corporation was subsequently tasked by NOSC to develop data bases and nonlinear regression analysis techniques to describe the acoustic detection process as a function of signal excess. Statistical techniques, primitive empirical data bases and ancillary computer programs used to relate the empirical data to models were developed previously at NOSC during other analyses of acoustic detection probabilities. These resources and the UCLA Department of Biomathematics Statistical Software were made available as a baseline for the nonlinear regression analysis methodology used in this investigation.

Descriptors :   *Computer programs, *Regression analysis, *Nonlinear analysis, *Acoustic detection, *Parametric analysis, *Mathematical models, Signal processing, Estimates, Methodology, Data bases

Subject Categories : Statistics and Probability
      Computer Programming and Software
      Acoustic Detection and Detectors

Distribution Statement : APPROVED FOR PUBLIC RELEASE