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We revisit stochastic thermodynamics for a system with discrete energy states in contact with a heat and particle reservoir.
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that the stability of activity sequences is greater, the higher the entropy of time use. For this purpose, a Markov model … calculated. It is evident that the entropy of an attractor is higher, the lower the norm of the second eigenvalue of the …
Persistent link: https://www.econbiz.de/10008465206
We continue publishing the four-part consultation of professor of Moscow School of Economics of Lomonosov MSU Dean Fantazzini. The first part, that appeared in 2 (10), 2008 of the journal, dealt with the introduction to the problem (section one: basic concepts and types of financial risks,...
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We study the life distribution of an operating device through the notion of mean residual life. The device is experiencing a random number of shocks governed by a homogeneous Poisson process, and a new U-statistic test procedure is introduced to test the hypothesis of that the life is...
Persistent link: https://www.econbiz.de/10011115953
The stress-strength reliability <InlineEquation ID="IEq4"> <EquationSource Format="TEX">$$R=P(YX)$$</EquationSource> </InlineEquation>, where <InlineEquation ID="IEq5"> <EquationSource Format="TEX">$$X$$</EquationSource> </InlineEquation> and <InlineEquation ID="IEq6"> <EquationSource Format="TEX">$$Y$$</EquationSource> </InlineEquation> are independent continuous random variables, has obtained wide attention in many areas of application, such as in engineering statistics and biostatistics. Classical likelihood-based inference about <InlineEquation ID="IEq7"> <EquationSource Format="TEX">$$R$$</EquationSource> </InlineEquation> has been widely...</equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation>
Persistent link: https://www.econbiz.de/10010998481
We consider the problem of estimating R=P(XY) where X and Y have independent exponential distributions with parameters θ and λ respectively and a common location parameter μ. Assuming that there is a prior guess or estimate R <Subscript>0</Subscript>, we develop various shrinkage estimators of R that incorporate...</subscript>
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