hidebound 发表于 2025-3-25 04:00:09
James W. Sheppard,Andrew Light allows the modeling of the evolution of systems through the time. It cannot be properly understood just as pure mathemat ics, separated from the body of experience and examples that have brought it to life. The theory of stochastic processes entered a period of intensive develop ment, which is noANTIC 发表于 2025-3-25 10:00:48
Holmes Rolston IIIe modeling of the evolution of systems through the time. It cannot be properly understood just as pure mathemat ics, separated from the body of experience and examples that have brought it to life. The theory of stochastic processes entered a period of intensive develop ment, which is not finished混合 发表于 2025-3-25 15:40:08
. This evolution can be character ized by a semigroup property. In the abstract form, this property is given by a semigroup of operators in a normed vector (Banach) space. In the practically boundless variety of mathematical models of the evolutionary systems, we have chosen the semi-Markov ran do有节制 发表于 2025-3-25 19:52:27
James W. Sheppard,Andrew Lights of stochastic processes and useful applications. Let us mention some of them: systems with complete connections ; K-dependent Markov processes978-1-4612-6640-2978-1-4612-0161-8Series ISSN 2364-6241 Series E-ISSN 2364-625X流逝 发表于 2025-3-25 22:31:22
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aster or PhD level. The prerequisites are a background in probability theory and finite state space Markov chains...Vlad Stefan Barbu is associate professor in statistics at the University of Rouen, France, Laboratory of Mathematics ‘Raphaël Salem.’ His research focuses basically on stochastic proce吃掉 发表于 2025-3-26 06:59:18
Katie McShaneaster or PhD level. The prerequisites are a background in probability theory and finite state space Markov chains...Vlad Stefan Barbu is associate professor in statistics at the University of Rouen, France, Laboratory of Mathematics ‘Raphaël Salem.’ His research focuses basically on stochastic procePHON 发表于 2025-3-26 11:06:36
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Mark Wynnnable due to the sometimes unfounded but necessary assumptions that must be imposed concerning the distribution function of the failure time. One way to avoid the above difficulties is to examine the failure mechanism of the given device and thus determine in a proper fashion the form of its distrib