Boris Harlamov – författare
Visar alla böcker från författaren Boris Harlamov. Handla med fri frakt och snabb leverans.
6 produkter
Continuous Semi-Markov Processes
E-bok, 2010
2802 kr
Lägg i varukorg
This title considers the special of random processes known as semi-Markov processes. These possess the Markov property with respect to any intrinsic Markov time such as the first exit time from an open set or a finite iteration of these times. The class of semi-Markov processes includes strong …
Continuous Semi-Markov Processes
E-bok, 2013
2742 kr
Lägg i varukorg
This title considers the special of random processes known as semi-Markov processes. These possess the Markov property with respect to any intrinsic Markov time such as the first exit time from an open set or a finite iteration of these times. The class of semi-Markov processes includes strong …
Stochastic Risk Analysis and Management
E-bok, 2017
2265 kr
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The author investigates the Cramer –Lundberg model, collecting the most interesting theorems and methods, which estimate probability of default for a company of insurance business. These offer different kinds of approximate values for probability of default on the base of normal and diffusion …
Stochastic Risk Analysis and Management
E-bok, 2017
2265 kr
Lägg i varukorg
The author investigates the Cramer –Lundberg model, collecting the most interesting theorems and methods, which estimate probability of default for a company of insurance business. These offer different kinds of approximate values for probability of default on the base of normal and diffusion …
Stochastic Risk Analysis and Management
Inbunden, 2017
1889 kr
Lägg i varukorg
The author investigates the Cramer –Lundberg model, collecting the most interesting theorems and methods, which estimate probability of default for a company of insurance business. These offer different kinds of approximate values for probability of default on the base of normal and diffusion …
Continuous Semi-Markov Processes
Inbunden, 2007
2459 kr
Lägg i varukorg
This title considers the special of random processes known as semi-Markov processes. These possess the Markov property with respect to any intrinsic Markov time such as the first exit time from an open set or a finite iteration of these times.The class of semi-Markov processes includes strong …