Application of Hyperbolic Secant Distributions
نویسندگان
چکیده
منابع مشابه
On random variate generation for the generalized hyperbolic secant distributions
Natural exponential families of distributions have probability mass functions of the form [exp(Ox)]#(dx) where # is a given measure, and 0 > 0 is a parameter. When we compute the mean and the variance, and force the variance to be a quadratic function of the mean as 0 is varied, the number of families becomes severely restricted. Morris (1982) showed that there are in fact only six natural expo...
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The shape of a probability distribution is often summarized by the distribution’s skewness and kurtosis. Starting from a symmetric “parent” density f on the real line, we can modify its shape (i.e. introduce skewness and in-/decrease kurtosis) if f is appropriately weighted. In particular, every density w on the interval (0, 1) is a specific weighting function. Within this work, we follow up a ...
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A generalization of the hyperbolic secant distribution which allows for both skewness and leptokurtosis was given by Morris (1982). Recently, Vaughan (2002) proposed another flexible generalization of the hyperbolic secant distribution which has a lot of nice properties but is not able to allow for skewness. For this reason, Fischer and Vaughan (2002) additionally introduced a skewness paramete...
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The shape of a probability distribution is often summarized by the distribution’s skewness and kurtosis. Starting from a symmetric ”parent” density f on the real line, we can modify its shape (i.e. introduce skewness and in-/decrease kurtosis) if f is appropriately weighted. In particular, every density w on the interval (0, 1) is a specific weighting function. Within this work, we follow up a ...
متن کاملA note on modelling cross correlations: hyperbolic secant regression
The problem of determining if a bivariate normal correlation changes with respect to time or some other covariate is considered. It is assumed that the means and standard deviations of the normal random variables can be consistently estimated from the entire data run, and do not need to be re-estimated for each covariate value. A new estimator of a bivariate normal correlation is given that has...
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ژورنال
عنوان ژورنال: Japanese journal of applied statistics
سال: 2006
ISSN: 0285-0370,1883-8081
DOI: 10.5023/jappstat.35.17