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  • Search: subject:"Sample path convexity and concavity"
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L-superadditive functions 1 MB/M(n)/1 and M/G/1 queues record values computational probability birth and death processes branching processes 1 Markov processes 1 Sample path convexity and concavity 1 branching processes 1 directional convexity and concavity 1 reliability theory 1 sample-path convexity and concavity weak majorization preservation of stochastic convexity Markov processes shock models and wear processes GI/G/1 1 shock models 1 single stage queues 1 supermodular and submodular functions 1 total positivity 1
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Article 2
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Shaked, Moshe 2 Shanthikumar, J. 1 Shanthikumar, J. George 1
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Annals of the Institute of Statistical Mathematics 1 Stochastic Processes and their Applications 1
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Parametric stochastic convexity and concavity of stochastic processes
Shaked, Moshe; Shanthikumar, J. - In: Annals of the Institute of Statistical Mathematics 42 (1990) 3, pp. 509-531
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Temporal stochastic convexity and concavity
Shaked, Moshe; Shanthikumar, J. George - In: Stochastic Processes and their Applications 27 (1987), pp. 1-20
A discrete time stochastic process {Xn, N = 0, 1, 2, ...} is said to be temporally convex (concave) if E[theta](Xn) is a nondecreasing convex (concave) function of n whenever [theta] is a nondecreasing convex (concave) function. Similarly one can define temporal convexity and concavity for...
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