Nonparametric estimation: the survival function.

Alfonso García Pérez

Trabajos de Estadística e Investigación Operativa (1984)

  • Volume: 35, Issue: 2, page 187-195
  • ISSN: 0041-0241

Abstract

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The unknown survival function S(t) of a random variable T ≥ 0 is considered. First we study the properties of S(t) and then, we estimate it from a Bayesian point of view. We compare the estimator with the posterior mean and we finish giving Bayes rules for linear functions of S(t).

How to cite

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García Pérez, Alfonso. "Nonparametric estimation: the survival function.." Trabajos de Estadística e Investigación Operativa 35.2 (1984): 187-195. <http://eudml.org/doc/40786>.

@article{GarcíaPérez1984,
abstract = {The unknown survival function S(t) of a random variable T ≥ 0 is considered. First we study the properties of S(t) and then, we estimate it from a Bayesian point of view. We compare the estimator with the posterior mean and we finish giving Bayes rules for linear functions of S(t).},
author = {García Pérez, Alfonso},
journal = {Trabajos de Estadística e Investigación Operativa},
keywords = {Estimación bayesiana no paramétrica; Función de supervivencia; nonparametric Bayesian estimation; linear approach; survival function},
language = {eng},
number = {2},
pages = {187-195},
title = {Nonparametric estimation: the survival function.},
url = {http://eudml.org/doc/40786},
volume = {35},
year = {1984},
}

TY - JOUR
AU - García Pérez, Alfonso
TI - Nonparametric estimation: the survival function.
JO - Trabajos de Estadística e Investigación Operativa
PY - 1984
VL - 35
IS - 2
SP - 187
EP - 195
AB - The unknown survival function S(t) of a random variable T ≥ 0 is considered. First we study the properties of S(t) and then, we estimate it from a Bayesian point of view. We compare the estimator with the posterior mean and we finish giving Bayes rules for linear functions of S(t).
LA - eng
KW - Estimación bayesiana no paramétrica; Función de supervivencia; nonparametric Bayesian estimation; linear approach; survival function
UR - http://eudml.org/doc/40786
ER -

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