Abstract
Models used for safely staging divers by computers, software, or tables need correlation and validation against real diving data. The process of correlating diver profiles and DCS outcomes against predictive models and fundamental parameters is presented. Data from computer downloaded profile records is correlated against several well known models, that is, USN, ZHL16, VPM, and RGBM using maximum likelihood statistical techniques. Results are tabulated, LANL DB discussed, risk functions constructed, and implications for diving and divers detailed.
Keywords: Maximum likelihood, Model correlations, Profile data banks, Risk.
Related Journals
Related Books
Industrial Applications of Soil Microbes
Industrial Applications of Soil Microbes
Industrial Applications of Soil Microbes
Industrial Applications of Soil Microbes
Biomarkers in Medicine
Biopolymers Towards Green and Sustainable Development
Algal Biotechnology for Fuel Applications
The Wax Moth: A Problem or a Solution?
Taurine and the Mitochondrion: Applications in the Pharmacotherapy of Human Diseases
An Introduction to Mycosporine-Like Amino Acids