# Predictive sample reuse techniques for censored data.

Trabajos de Estadística e Investigación Operativa (1980)

- Volume: 31, Issue: 1, page 433-452
- ISSN: 0041-0241

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topGeisser, Seymour. "Predictive sample reuse techniques for censored data.." Trabajos de Estadística e Investigación Operativa 31.1 (1980): 433-452. <http://eudml.org/doc/40839>.

@article{Geisser1980,

abstract = {Predictive sample reuse methods usually applied in low structure aparametric paradigms are shown to be useful in certain high structure situations when conjoined with a Bayesian approach. Particular attention is focused on the incomplete data situation for which two alternative sample reuse approaches are devised. The first involves differential weighting and the second a recursive sample reuse algorithm. These are applied to censored exponential survival data. The exponential approach appears to be preferable from both a computational and modelling viewpoint.},

author = {Geisser, Seymour},

journal = {Trabajos de Estadística e Investigación Operativa},

keywords = {Predicción estadística; Diseño muestral; Análisis bayesiano; Análisis de datos censurados; predictive sample reuse methods; censored exponential survival data; discrepancy measure; maximum likelihood; method of moments},

language = {eng},

number = {1},

pages = {433-452},

title = {Predictive sample reuse techniques for censored data.},

url = {http://eudml.org/doc/40839},

volume = {31},

year = {1980},

}

TY - JOUR

AU - Geisser, Seymour

TI - Predictive sample reuse techniques for censored data.

JO - Trabajos de Estadística e Investigación Operativa

PY - 1980

VL - 31

IS - 1

SP - 433

EP - 452

AB - Predictive sample reuse methods usually applied in low structure aparametric paradigms are shown to be useful in certain high structure situations when conjoined with a Bayesian approach. Particular attention is focused on the incomplete data situation for which two alternative sample reuse approaches are devised. The first involves differential weighting and the second a recursive sample reuse algorithm. These are applied to censored exponential survival data. The exponential approach appears to be preferable from both a computational and modelling viewpoint.

LA - eng

KW - Predicción estadística; Diseño muestral; Análisis bayesiano; Análisis de datos censurados; predictive sample reuse methods; censored exponential survival data; discrepancy measure; maximum likelihood; method of moments

UR - http://eudml.org/doc/40839

ER -

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