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Extending the Quandt Ramsey Modeling to Survival Analysis - Paichuan Chen
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Paichuan Chen:

Extending the Quandt Ramsey Modeling to Survival Analysis - Livres de poche

ISBN: 9783844317770

ID: 9783844317770

Finding the MLE of the mixture of two exponential survival functions The mixture of two regression regimes has been extensively studied in economics. The test of a mixture of regimes in hazard modeling would be seen to have fundamental importance in biostatistical research but has not been studied. A two-regime parametric mixture is proposed to model the effect of a single covariate on the event time. Typically, the Cox proportional hazards model is applied to estimate a single regime survival regression function. The mixture of two regimes model contains five parameters to be estimated namely, two parameters to describe each regime, and one to describe the mixing proportion. A software program developed for this research finds the maximum likelihood estimates of the parameters and the likelihood ratio test of the null hypothesis of a single regime against the alternative of a mixture of two regimes. A simulation study finds an approximation to the null distribution of the test and its approximate power. Extending the Quandt Ramsey Modeling to Survival Analysis: The mixture of two regression regimes has been extensively studied in economics. The test of a mixture of regimes in hazard modeling would be seen to have fundamental importance in biostatistical research but has not been studied. A two-regime parametric mixture is proposed to model the effect of a single covariate on the event time. Typically, the Cox proportional hazards model is applied to estimate a single regime survival regression function. The mixture of two regimes model contains five parameters to be estimated namely, two parameters to describe each regime, and one to describe the mixing proportion. A software program developed for this research finds the maximum likelihood estimates of the parameters and the likelihood ratio test of the null hypothesis of a single regime against the alternative of a mixture of two regimes. A simulation study finds an approximation to the null distribution of the test and its approximate power., LAP Lambert Acad. Publ.

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Extending the Quandt Ramsey Modeling to Survival Analysis - Paichuan Chen
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Paichuan Chen:

Extending the Quandt Ramsey Modeling to Survival Analysis - Livres de poche

ISBN: 9783844317770

[ED: Taschenbuch], [PU: LAP Lambert Acad. Publ.], Neuware - The mixture of two regression regimes has been extensively studied in economics. The test of a mixture of regimes in hazard modeling would be seen to have fundamental importance in biostatistical research but has not been studied. A two-regime parametric mixture is proposed to model the effect of a single covariate on the event time. Typically, the Cox proportional hazards model is applied to estimate a single regime survival regression function. The mixture of two regimes model contains five parameters to be estimated namely, two parameters to describe each regime, and one to describe the mixing proportion. A software program developed for this research finds the maximum likelihood estimates of the parameters and the likelihood ratio test of the null hypothesis of a single regime against the alternative of a mixture of two regimes. A simulation study finds an approximation to the null distribution of the test and its approximate power., [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x6 mm, [GW: 159g]

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Extending the Quandt Ramsey Modeling to Survival Analysis - Paichuan Chen
Livre non disponible
(*)
Paichuan Chen:
Extending the Quandt Ramsey Modeling to Survival Analysis - Livres de poche

ISBN: 9783844317770

[ED: Taschenbuch], [PU: LAP Lambert Acad. Publ.], Neuware - The mixture of two regression regimes has been extensively studied in economics. The test of a mixture of regimes in hazard modeling would be seen to have fundamental importance in biostatistical research but has not been studied. A two-regime parametric mixture is proposed to model the effect of a single covariate on the event time. Typically, the Cox proportional hazards model is applied to estimate a single regime survival regression function. The mixture of two regimes model contains five parameters to be estimated namely, two parameters to describe each regime, and one to describe the mixing proportion. A software program developed for this research finds the maximum likelihood estimates of the parameters and the likelihood ratio test of the null hypothesis of a single regime against the alternative of a mixture of two regimes. A simulation study finds an approximation to the null distribution of the test and its approximate power., [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x6 mm, [GW: 159g]

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Extending the Quandt Ramsey Modeling to Survival Analysis: Finding the MLE of the mixture of two exponential survival functions - Chen, Paichuan
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Chen, Paichuan:
Extending the Quandt Ramsey Modeling to Survival Analysis: Finding the MLE of the mixture of two exponential survival functions - Livres de poche

2011, ISBN: 9783844317770

ID: 906447972

LAP LAMBERT Academic Publishing, 2011-03-21. Paperback. Used:Good. Ships Fast. Expedite Shipping Available., LAP LAMBERT Academic Publishing, 2011-03-21

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Extending the Quandt Ramsey Modeling to Survival Analysis - Chen, Paichuan
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Chen, Paichuan:
Extending the Quandt Ramsey Modeling to Survival Analysis - Livres de poche

2011, ISBN: 9783844317770

ID: 12284798540

Trade paperback, New., Trade paperback (US). Glued binding. 96 p. Contains: Illustrations, black & white., Saarbrucken, [PU: LAP Lambert Academic Publishing]

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Détails sur le livre
Extending the Quandt Ramsey Modeling to Survival Analysis: Finding the MLE of the mixture of two exponential survival functions
Auteur:

Chen, Paichuan

Titre:

Extending the Quandt Ramsey Modeling to Survival Analysis: Finding the MLE of the mixture of two exponential survival functions

ISBN:

3844317775

The mixture of two regression regimes has been extensively studied in economics. The test of a mixture of regimes in hazard modeling would be seen to have fundamental importance in biostatistical research but has not been studied. A two-regime parametric mixture is proposed to model the effect of a single covariate on the event time. Typically, the Cox proportional hazards model is applied to estimate a single regime survival regression function. The mixture of two regimes model contains five parameters to be estimated; namely, two parameters to describe each regime, and one to describe the mixing proportion. A software program developed for this research finds the maximum likelihood estimates of the parameters and the likelihood ratio test of the null hypothesis of a single regime against the alternative of a mixture of two regimes. A simulation study finds an approximation to the null distribution of the test and its approximate power.

Informations détaillées sur le livre - Extending the Quandt Ramsey Modeling to Survival Analysis: Finding the MLE of the mixture of two exponential survival functions


EAN (ISBN-13): 9783844317770
ISBN (ISBN-10): 3844317775
Version reliée
Livre de poche
Date de parution: 2011
Editeur: LAP LAMBERT ACADEMIC PUB 01/08/2014

Livre dans la base de données depuis 09.07.2009 09:59:51
Livre trouvé récemment le 15.09.2016 08:47:02
ISBN/EAN: 3844317775

ISBN - Autres types d'écriture:
3-8443-1777-5, 978-3-8443-1777-0

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