Ushio Sumita
University of Tsukuba
115 Papers
652 Citations
Ushio Sumita is an academic researcher from University of Tsukuba. The author has contributed to research in topics: Markov chain & Markov process. The author has an hindex of 19, co-authored 115 publications. Previous affiliations of Ushio Sumita include Saint Petersburg State University & International University of Japan.
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Papers
A useful generalization of renewal theory: counting processes governed by non-negative markovian increments
Masaaki Kijima,Ushio Sumita +1 more
TL;DR: In this paper, the structure of the function H(t) = E[N(t), extending the ordinary renewal theory was studied, and it was shown under certain conditions that h(t ) = (d/dt)H(T) exists and is a unique solution of an extended renewal equation.
210
Importance of policy for energy system transformation: Diffusion of PV technology in Japan and Germany
TL;DR: In this paper, the authors compared case studies of the Japanese and German PV sector from 1990 to 2011 and discussed the successful policy implementation and the impact of policy for the diffusion of PV technology.
117
Approximations for the time spent in a dynamic job shop with applications to due-date assignment
TL;DR: In this paper, the authors developed approximations for the distribution of the total time spent in a dynamic job shop using an exponential limit theorem and an heuristic decomposition of open queueing networks.
88
The bilateral Laguerre transform
J. Keilson,W. Nunn,Ushio Sumita +2 more
TL;DR: In this article, the Laguerre-transform method is extended to the full continuum, with Laurent expansions, bilateral Laplace transformation, and conformal mapping entering as crucial tools.
55
Distribution properties of the system failure time in a general shock model
J. G. Shanthikumar,Ushio Sumita +1 more
TL;DR: In this paper, the authors studied the distribution properties of the system failure time in general shock models associated with correlated renewal sequences (X n, Y n ), depending on whether the magnitude of the nth shock X n is correlated to the length Y n of the interval since the last shock, or the length of the subsequent interval to the next shock.
55