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A Generalized Cauchy Distribution Framework for Problems Requiring Robust Behavior
2010
EURASIP Journal on Advances in Signal Processing
Statistical modeling is at the heart of many engineering problems. The importance of statistical modeling emanates not only from the desire to accurately characterize stochastic events, but also from the fact that distributions are the central models utilized to derive sample processing theories and methods. The generalized Cauchy distribution (GCD) family has a closed-form pdf expression across the whole family as well as algebraic tails, which makes it suitable for modeling many real-life
doi:10.1155/2010/312989
fatcat:ta5ajb7s5rhklfsifdbfasfszy