Maximum likelihood estimation and diagnostics for stable distributions
نویسنده
چکیده
A program for maximum likelihood estimation of general stable parameters is described The Fisher information matrix is computed making large sample estimation of stable parameters a practical tool In addition diagnostics are developed for assessing the stability of a data set Applications to simulated data stock price data foreign exchange rate data radar data and ocean wave energy are presented
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