| dc.contributor.advisor | Volf, Petr | |
| dc.creator | Novák, Petr | |
| dc.date.accessioned | 2017-04-18T11:13:53Z | |
| dc.date.available | 2017-04-18T11:13:53Z | |
| dc.date.issued | 2009 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11956/20794 | |
| dc.description.abstract | In the present work we study regression models in reliability analysis. We compare the Cox proportional hazards model, Aalen additive model, accelerated failure time model and their combinations. For each model we present procedures for estimating parametric and non-parametric risk function parts and goodness-of-fit tests based on classic regression routines and counting process theory. We demonstrate those tests on both real and simulated data and we focus on procedures how to find the model with the best fit. | en_US |
| dc.language | Čeština | cs_CZ |
| dc.language.iso | cs_CZ | |
| dc.publisher | Univerzita Karlova, Matematicko-fyzikální fakulta | cs_CZ |
| dc.title | Regresní modely pro intenzity poruch v analýze spolehlivosti | cs_CZ |
| dc.type | diplomová práce | cs_CZ |
| dcterms.created | 2009 | |
| dcterms.dateAccepted | 2009-05-11 | |
| dc.description.department | Department of Probability and Mathematical Statistics | en_US |
| dc.description.department | Katedra pravděpodobnosti a matematické statistiky | cs_CZ |
| dc.description.faculty | Faculty of Mathematics and Physics | en_US |
| dc.description.faculty | Matematicko-fyzikální fakulta | cs_CZ |
| dc.identifier.repId | 48028 | |
| dc.title.translated | Regression models for intensities of failures in the reliability analysis | en_US |
| dc.contributor.referee | Kulich, Michal | |
| dc.identifier.aleph | 001119688 | |
| thesis.degree.name | Mgr. | |
| thesis.degree.level | navazující magisterské | cs_CZ |
| thesis.degree.discipline | Pravděpodobnost, matematická statistika a ekonometrie | cs_CZ |
| thesis.degree.discipline | Probability, mathematical statistics and econometrics | en_US |
| thesis.degree.program | Matematika | cs_CZ |
| thesis.degree.program | Mathematics | en_US |
| uk.thesis.type | diplomová práce | cs_CZ |
| uk.taxonomy.organization-cs | Matematicko-fyzikální fakulta::Katedra pravděpodobnosti a matematické statistiky | cs_CZ |
| uk.taxonomy.organization-en | Faculty of Mathematics and Physics::Department of Probability and Mathematical Statistics | en_US |
| uk.faculty-name.cs | Matematicko-fyzikální fakulta | cs_CZ |
| uk.faculty-name.en | Faculty of Mathematics and Physics | en_US |
| uk.faculty-abbr.cs | MFF | cs_CZ |
| uk.degree-discipline.cs | Pravděpodobnost, matematická statistika a ekonometrie | cs_CZ |
| uk.degree-discipline.en | Probability, mathematical statistics and econometrics | en_US |
| uk.degree-program.cs | Matematika | cs_CZ |
| uk.degree-program.en | Mathematics | en_US |
| thesis.grade.cs | Velmi dobře | cs_CZ |
| thesis.grade.en | Very good | en_US |
| uk.abstract.en | In the present work we study regression models in reliability analysis. We compare the Cox proportional hazards model, Aalen additive model, accelerated failure time model and their combinations. For each model we present procedures for estimating parametric and non-parametric risk function parts and goodness-of-fit tests based on classic regression routines and counting process theory. We demonstrate those tests on both real and simulated data and we focus on procedures how to find the model with the best fit. | en_US |
| uk.file-availability | V | |
| uk.publication.place | Praha | cs_CZ |
| uk.grantor | Univerzita Karlova, Matematicko-fyzikální fakulta, Katedra pravděpodobnosti a matematické statistiky | cs_CZ |
| dc.identifier.lisID | 990011196880106986 | |
