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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).
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 -