Abstract
By a set of birth-death parameters, we shall mean a sequence \(\left\{ {\left( {{\lambda _n},{\mu _n}} \right);n = 0,1,2,...} \right\}\) of pairs of numbers such that \({\lambda _n} > \) for all \(n \geqslant 0,{\mu _n} > 0\) for all \(n \geqslant 1,\), and \({\mu _0} \geqslant 0\). In this chapter, Q will represent the birth and death q-matrix of (3.2.1) given by
, where \(\left\{ {\left( {{\lambda _n},{\mu _n}} \right);n = 0,1,2,...} \right\}\) is a set of birth-death parameters. Note again that Q is conservative if and only if μ0 = 0, and that if μ 0 > 0, we are allowing the process to jump from state 0 directly to an absorbing state which, given the context here, is most conveniently labeled as — 1.
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© 1991 Springer-Verlag New York Inc.
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Anderson, W.J. (1991). Birth and Death Processes. In: Continuous-Time Markov Chains. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3038-0_8
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DOI: https://doi.org/10.1007/978-1-4612-3038-0_8
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