Nonlinear Regression Analysis Methodology for the Estimation of Detection Probabilities from Empirical Data.
Final rept. FY 82,
COMPUTER SCIENCES CORP SAN DIEGO CALIF
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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.
- Statistics and Probability
- Computer Programming and Software
- Acoustic Detection and Detectors