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
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