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A note on seasonal Markov chains with gamma or gamma-like distributions

Published online by Cambridge University Press:  14 July 2016

E. H. Lloyd*
Affiliation:
University of Lancaster
S. D. Saleem*
Affiliation:
University of Lancaster
*
Postal address: Department of Mathematics, University of Lancaster, Bailrigg, Lancaster, U.K.
Postal address: Department of Mathematics, University of Lancaster, Bailrigg, Lancaster, U.K.

Abstract

Weighted sums defined on a Markov chain (MC) are important in applications (e.g. to reservoir storage theory). The rather intractable theory of such sums simplifies to some extent when the transition p.d.f. of the chain {Xt} has a Laplace transform (LT) L(Xt+1; θ |Χ t=x) of the ‘exponential' form H(θ) exp{ – G(θ)x}. An algorithm is derived for the computation of the LT of Σatt for this class, and for a seasonal generalization of it.

A special case of this desirable exponential type of transition LT for a continuous-state discrete-time MC is identified by comparison with the LT of the Bessel distribution. This is made the basis for a new derivation of a gamma-distributed MC proposed by Lampard (1968).

A seasonal version of this process is developed, valid for any number of seasons.

Reference is made to related chains with three-parameter gamma-like distributions (of the Kritskii–Menkel family) that may be generated from the above by a simple power transformation.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1979 

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