In probability theory and statistics, the raised cosine distribution is a continuous probability distribution supported on the interval . The probability density function (PDF) is for and zero otherwise. The cumulative distribution function (CDF) is for and zero for and unity for . where is a generalized hypergeometric function.
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| - Loi du cosinus surélevé (fr)
- Raised cosine distribution (en)
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| - En théorie des probabilités et en statistique, la loi du cosinus surélevé est une loi de probabilité continue définie à partir de la fonction cosinus. Elle dépend de deux paramètres : un réel μ qui est la moyenne et un paramètre positif s décrivant la variance. Lorsque μ = 0 et s =1, la loi est appelée loi du cosinus surélevé standard. (fr)
- In probability theory and statistics, the raised cosine distribution is a continuous probability distribution supported on the interval . The probability density function (PDF) is for and zero otherwise. The cumulative distribution function (CDF) is for and zero for and unity for . where is a generalized hypergeometric function. (en)
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| - En théorie des probabilités et en statistique, la loi du cosinus surélevé est une loi de probabilité continue définie à partir de la fonction cosinus. Elle dépend de deux paramètres : un réel μ qui est la moyenne et un paramètre positif s décrivant la variance. Lorsque μ = 0 et s =1, la loi est appelée loi du cosinus surélevé standard. (fr)
- In probability theory and statistics, the raised cosine distribution is a continuous probability distribution supported on the interval . The probability density function (PDF) is for and zero otherwise. The cumulative distribution function (CDF) is for and zero for and unity for . The moments of the raised cosine distribution are somewhat complicated in the general case, but are considerably simplified for the standard raised cosine distribution. The standard raised cosine distribution is just the raised cosine distribution with and . Because the standard raised cosine distribution is an even function, the odd moments are zero. The even moments are given by: where is a generalized hypergeometric function. (en)
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