HYPOTHESIS TESTING FOR GEOACOUSTIC ENVIRONMENTAL MODELS USING LIKELIHOOD RATIO

作者: Christoph F. Mecklenbräuker , Peter Gerstoft , Johann F. Böhme , Pei-Jung Chung

DOI: 10.1121/1.426712

关键词:

摘要: A generalized likelihood ratio test is developed for testing acoustic environmental models with an application to parameter inversion using propagation code. The signal-to-noise in measurements proves limit the details on geoacoustic environments that can be determined by matched field processing methods. hypothesis serves Monte Carlo simulations as a tool determine minimal signal levels bottom inversion. term “hierarchy of models” used denoting sequence which each particular model contains all previous ones. For determining order and its parameters, combined estimation multiple sequential proposed. Given observed data, how many parameters should included model? last question important selection hierarchies increasing number parameters. Multiple hypotheses provides procedure statistically justified way. show behavior selecting function (SNR) ratio. applied broadband data measured vertical array near island Elba Mediterranean Sea compared Akaike’s Information Criterion.

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