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Volume 92 (2025)
Volume 91 (2024)
Volume 91, Issue 12
Pg 1485 - 1625 (December 2024)
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Pg 539 - 671 (May 2024)
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Pg 393 - 537 (April 2024)
Volume 91, Issue 3
Pg 257 - 392 (March 2024)
Volume 91, Issue 2
Pg 125 - 255 (February 2024)
Volume 91, Issue 1
Pg 1 - 123 (January 2024)
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Advances and Applications in Statistics
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Abstract: It
is known that every distribution on
R +
is
the weak limit of a sequence of distributions
with rational Laplace-Stieltjes transform (of
mixtures with positive weights of gamma
distribution). Steutel and van Eenige [
looked at the discrete analogue of this
result. Here we look into the role of the
discrete Mittag-Leffler distributions in the
study of approximation of distributions on
Z + .
The
concept of Poisson mixtures is generalized to
discrete stable mixtures. It is shown that
distributions on
Z +
that
can be approximated by mixtures of generalized
discrete Linnik distributions are discrete
stable mixtures. Discrete semi-stable
autoregressive process is introduced. As a
special case, we study discrete stable
autoregressive process .
Keywords and phrases: autoregressive models, discrete Mittag-Leffler laws, discrete semi- stable laws, discrete stable laws, positive Linnik distribution, Mittag-Leffler distribution, Poisson mixtures.
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