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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In mathematics, the Lévy metric is a metric on the space of cumulative distribution functions of one-dimensional random variables. It is a special case of the Lévy-Prokhorov metric, and is named after the French mathematician Paul Pierre Lévy. In probability theory and statistics, the cumulative distribution function (CDF), or just distribution function, completely describes the probability distribution of a real-valued random variable X. Cumulative distribution…mehr

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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In mathematics, the Lévy metric is a metric on the space of cumulative distribution functions of one-dimensional random variables. It is a special case of the Lévy-Prokhorov metric, and is named after the French mathematician Paul Pierre Lévy. In probability theory and statistics, the cumulative distribution function (CDF), or just distribution function, completely describes the probability distribution of a real-valued random variable X. Cumulative distribution functions are also used to specify the distribution of multivariate random variables.