ozone

<p>These data correspond to daily ozone level measurements (in \(ppb=ppm x 1000\)) in New York in May-September, 1973, from the New York State Department of Conservation.</p>

datasets

It provides the density, distribution function, quantile function, random number generator, reliability function, failure rate, likelihood function, moments and EM algorithm for Maximum Likelihood estimators, also empirical quantile and generated envelope for a given sample, all this for the three parameter Birnbaum-Saunders model based on Skew-Normal Distribution. Also, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution. Additionally, we incorporate the EM algorithm based on the assumption that the error term follows a finite mixture of Sinh-normal distributions.

Rocio Maehara

bssn

Birnbaum-Saunders Model

ozone function

<p><code>ozone</code> is a data frame with 116 cases (rows).</p>

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ozone: Daily ozone level measurements

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