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Titlebook: Manufacturing and Service Enterprise with Risks; A Stochastic Managem Masayuki Matsui Book 2009 Springer-Verlag US 2009 Management.Operatio

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Masayuki Matsui provides an example in which the critical manifold represents neither thermostatic nor steady states. In this case, it is a set of states satisfying a critical condition or event, and the set may be either an attractor or a repeller depending on whether the crack propagation is stable or unstable.
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it does not define a probability as a frequency of occurrence, it is possible to assign probabilities to propositions such as “The probability that the frequency had value . when the data were taken,” or “The probability that hypothesis . is a better description of the data than hypothesis ..” Prob
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Masayuki Matsui rough surfaces. The aim is to establish a new technique for surface parameterisation by obtaining and analysing the height (or amplitude) distribution functions of rough surfaces. Data obtained from an experimental system is inherently noisy: Linear signal processing techniques cannot produce a noi
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Masayuki Matsuirecent literature that in active learning situations (where the actions of the statistician, or the person learning about some parameters, influences the draws from the distribution about which he/she is learning), full learning may not take place. This challenges the use of the rational expectation
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Masayuki Matsui rough surfaces. The aim is to establish a new technique for surface parameterisation by obtaining and analysing the height (or amplitude) distribution functions of rough surfaces. Data obtained from an experimental system is inherently noisy: Linear signal processing techniques cannot produce a noi
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Masayuki Matsui rough surfaces. The aim is to establish a new technique for surface parameterisation by obtaining and analysing the height (or amplitude) distribution functions of rough surfaces. Data obtained from an experimental system is inherently noisy: Linear signal processing techniques cannot produce a noi
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