. "\u010Cl\u00E1nek se zab\u00FDv\u00E1 modelov\u00E1n\u00EDm spolehlivosti dat pomoc\u00ED homogenn\u00EDho a nehomogenn\u00EDho Poissonova procesu. C\u00EDlem je rozhodnout, zda je intenzita procesu konstantn\u00ED, co\u010D znamen\u00E1, \u017Ee spolehlivost z\u016Fst\u00E1v\u00E1 stejn\u00E1, nebo jinak \u0159e\u010Deno rozhodnout, zda se syst\u00E9m zlep\u0161uje \u010Di zhor\u0161uje. Uva\u017Euj\u00ED se ob\u011B situace, jak situace, kdy jsou zn\u00E1m\u00E9 pouze po\u010Dty ud\u00E1lost\u00ED v \u010Dase, tak i situace, kdy jsou zn\u00E1my o intervaly mezi ud\u00E1lostmi. N\u011Bkolik statistick\u00FDch test\u016F pro detekci zm\u011Bny v intenzit\u011B Poissonova procesu je navr\u017Eeno a ilustrov\u00E1no na p\u0159\u00EDkladu."@cs . "The paper concentrates on the modelling of the reliability data using homogenous and nonhomogeneous Poisson process. The goal is to decide whether the intensity of the process is constant, which means that the reliability remains the same, i.e. whether the system is improving or detorating. We assume both the situation when only the counts of events are available, or when the times between failures are avalable. Several statistical tests for detection of a change in the intensity of Poisson process are described and illustrated by an example. We cover both cases when the time of the change is assumed to be known or unknown."@en . . . . . . "CZ - \u010Cesk\u00E1 republika" . "Jaru\u0161kov\u00E1, Daniela" . . "415;430" . . "Kybernetika" . "Testov\u00E1n\u00ED homogenity stochastick\u00FDch proces\u016F"@cs . "454818" . "Testing homogeneity of stochastic processes" . "Change point detection; Counting Process; Homogeneous and nonhomogeneous Poisson Process"@en . "[1ACE294A9725]" . "RIV/68407700:21110/07:01133263!RIV08-GA0-21110___" . . "Testing homogeneity of stochastic processes" . "Antoch, J." . "The paper concentrates on the modelling of the reliability data using homogenous and nonhomogeneous Poisson process. The goal is to decide whether the intensity of the process is constant, which means that the reliability remains the same, i.e. whether the system is improving or detorating. We assume both the situation when only the counts of events are available, or when the times between failures are avalable. Several statistical tests for detection of a change in the intensity of Poisson process are described and illustrated by an example. We cover both cases when the time of the change is assumed to be known or unknown." . "Testing homogeneity of stochastic processes"@en . . "Testing homogeneity of stochastic processes"@en . "P(GA201/06/0186)" . "1"^^ . "21110" . . "RIV/68407700:21110/07:01133263" . "2"^^ . . . "43" . . "Testov\u00E1n\u00ED homogenity stochastick\u00FDch proces\u016F"@cs . "16"^^ . "4" . "0023-5954" . .