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Frequentist and Bayesian approaches for interval-censored data

Frequentist and Bayesian approaches for interval-censored data
 
Gómez, Guadalupe ; Calle, M. Luz ; Oller, Ramon
2004

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Nombre: artconlli_a2004_oller_ramon_frequentist_bayesian.pdf
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Descripción: Només accés administradors
Enllaç permanent: http://hdl.handle.net/10854/2791
 
Versió de l'editor: https://doi.org/10.1007/BF02777221
 

Resumen

Interval censoring appears when the event of interest is only known to have occurred within a random time interval. Estimation and hypothesis testing procedures for interval-censored data are surveyed. We distinguish between frequentist and Bayesian approaches. Computational aspects for every proposed method are described and ...»»»»
Interval censoring appears when the event of interest is only known to have occurred within a random time interval. Estimation and hypothesis testing procedures for interval-censored data are surveyed. We distinguish between frequentist and Bayesian approaches. Computational aspects for every proposed method are described and solutions with S-Plus, whenever are feasible, are mentioned. Three real data sets are analyzed.^^^^

Tipo de documento:

Artículo

Indexación:

 
Indexat a SCOPUS
 
Indexat a WOS/JCR
 

Derechos:

 
(c) Springer (The original publication is available at www.springerlink.com)
 
Tots els drets reservats
 

Citación Bibliográfica:

Gomez, G., Calle Rosingana, M. L., & Oller Piquer, R. (2004). Frequentist and bayesian approaches for interval-censored data. Statistical Papers, 45(2), 139-173.