In many studies related to longevity tests, we face limitations such as time and number of sample units, which prevent the researcher from having access to the entire data. Therefore, predicting unobserved values based on information from the sample units that are available is worth studying. In this paper, assuming that the original observations follow an exponential model and the restriction imposed on the data is two-way censoring, we have investigated the prediction of unobserved values from the perspective of Bayesian statistics in two cases, one sample and two samples. In each case, a prediction interval with the coverage is obtained. Finally, by presenting a numerical example, the results obtained are analyzed.
Karamzadeh, M. & Ahmadi, J. (2012). Bayesian prediction of future observations based on a two-way censored sample in an exponential model. Andishe_ye Amari, 17(1), 15-28.
MLA
Karamzadeh, M., & Ahmadi, J. "Bayesian prediction of future observations based on a two-way censored sample in an exponential model", Andishe_ye Amari, 17, 1, 2012, 15-28.
HARVARD
Karamzadeh M., Ahmadi J. (2012). 'Bayesian prediction of future observations based on a two-way censored sample in an exponential model', Andishe_ye Amari, 17(1), pp. 15-28.
CHICAGO
M. Karamzadeh & J. Ahmadi, "Bayesian prediction of future observations based on a two-way censored sample in an exponential model," Andishe_ye Amari, 17 1 (2012): 15-28,
VANCOUVER
Karamzadeh M., Ahmadi J. Bayesian prediction of future observations based on a two-way censored sample in an exponential model. Andishe_ye Amari. 2012;17(1):15-28 (In Persian).
