8 research outputs found

    On a class of distributions stable under random summation

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    We investigate a family of distributions having a property of stability-under-addition, provided that the number ν\nu of added-up random variables in the random sum is also a random variable. We call the corresponding property a \,ν\nu-stability and investigate the situation with the semigroup generated by the generating function of ν\nu is commutative. Using results from the theory of iterations of analytic functions, we show that the characteristic function of such a ν\nu-stable distribution can be represented in terms of Chebyshev polynomials, and for the case of ν\nu-normal distribution, the resulting characteristic function corresponds to the hyperbolic secant distribution. We discuss some specific properties of the class and present particular examples.Comment: 12 pages, 1 figur

    Reconstruction of the error distribution in the linear regression scheme

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    One approach to the construction of stable estimation procedures

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    Stability of one characterization of the generalized gamma distribution

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