Lifetime Models with Nonconstant Shape Parameters
In its standard form, a lifetime regression model usually assumes that the time until an event occurs has a constant shape parameter and a scale parameter that is a function of covariates. In this paper we consider lifetime models with shape parameter dependent on a vector of covariates. Two specia...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Instituto Nacional de Estatística | Statistics Portugal
2003-11-01
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| Series: | Revstat Statistical Journal |
| Subjects: | |
| Online Access: | https://revstat.ine.pt/index.php/REVSTAT/article/view/4 |
| _version_ | 1818513316787519488 |
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| author | Josmar Mazucheli Francisco Louzada-Neto Jorge Alberto Achcar |
| author_facet | Josmar Mazucheli Francisco Louzada-Neto Jorge Alberto Achcar |
| author_sort | Josmar Mazucheli |
| collection | DOAJ |
| description |
In its standard form, a lifetime regression model usually assumes that the time until an event occurs has a constant shape parameter and a scale parameter that is a function of covariates. In this paper we consider lifetime models with shape parameter dependent on a vector of covariates. Two special models are considered, the Weibull model and a mixture model incorporating long-term survivors, when we consider that the incidence probability is also dependent on covariates. Classical parameters estimation approach is considered on two real data sets.
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| first_indexed | 2024-12-10T23:59:39Z |
| format | Article |
| id | doaj.art-c775a0e2706f4daeb78377ff36518837 |
| institution | Directory Open Access Journal |
| issn | 1645-6726 2183-0371 |
| language | English |
| last_indexed | 2024-12-10T23:59:39Z |
| publishDate | 2003-11-01 |
| publisher | Instituto Nacional de Estatística | Statistics Portugal |
| record_format | Article |
| series | Revstat Statistical Journal |
| spelling | doaj.art-c775a0e2706f4daeb78377ff365188372022-12-22T01:28:31ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712003-11-011110.57805/revstat.v1i1.4Lifetime Models with Nonconstant Shape ParametersJosmar Mazucheli 0Francisco Louzada-Neto 1Jorge Alberto Achcar 2Universidade Estadual de MaringáUniversidade Federal de São CarlosUniversidade Federal de São Carlos In its standard form, a lifetime regression model usually assumes that the time until an event occurs has a constant shape parameter and a scale parameter that is a function of covariates. In this paper we consider lifetime models with shape parameter dependent on a vector of covariates. Two special models are considered, the Weibull model and a mixture model incorporating long-term survivors, when we consider that the incidence probability is also dependent on covariates. Classical parameters estimation approach is considered on two real data sets. https://revstat.ine.pt/index.php/REVSTAT/article/view/4accelerated life testsbootstraplong-term survivorsnonconstant shape parameterWeibull distribution |
| spellingShingle | Josmar Mazucheli Francisco Louzada-Neto Jorge Alberto Achcar Lifetime Models with Nonconstant Shape Parameters Revstat Statistical Journal accelerated life tests bootstrap long-term survivors nonconstant shape parameter Weibull distribution |
| title | Lifetime Models with Nonconstant Shape Parameters |
| title_full | Lifetime Models with Nonconstant Shape Parameters |
| title_fullStr | Lifetime Models with Nonconstant Shape Parameters |
| title_full_unstemmed | Lifetime Models with Nonconstant Shape Parameters |
| title_short | Lifetime Models with Nonconstant Shape Parameters |
| title_sort | lifetime models with nonconstant shape parameters |
| topic | accelerated life tests bootstrap long-term survivors nonconstant shape parameter Weibull distribution |
| url | https://revstat.ine.pt/index.php/REVSTAT/article/view/4 |
| work_keys_str_mv | AT josmarmazucheli lifetimemodelswithnonconstantshapeparameters AT franciscolouzadaneto lifetimemodelswithnonconstantshapeparameters AT jorgealbertoachcar lifetimemodelswithnonconstantshapeparameters |