We use the general weighted moments estimator (GWME) of the scale parameter of the two-parameter exponential distribution based on a multiply type II censored sample to construct the pivotal quantities for the use of the prediction intervals of future waiting times. This estimator has been shown to have better performance than the other fourteen estimators in terms of mean square error. At last, one real life example is given to illustrate the prediction intervals based on GWMEs.補正完
The interval estimation of the survival function of the two-parameter exponential distribution on th...
In applied work, the two-parameter exponential distribution gives useful representations of many phy...
Mixed exponential distributions play a significant role in lifetime data analysis, but if we use tra...
[[abstract]]Wu (2015) proposed the general weighted moments estimators (GWMEs) of the scale paramete...
Wu utilized the general weighted moments estimator (GWMEs) of the scale parameter of the one-paramet...
[[abstract]]The interval estimation of the scale parameter and the joint confidence region of the pa...
[[abstract]]In this paper, we make use of an algorithm of Huffer & Lin (2001) in order to develop ex...
[[abstract]]In this paper, we make use of an algorithm of Huffer and Lin (2001) in order to develop ...
[[abstract]]Exact inference for the location and scale parameters as well as prediction intervals fo...
[[abstract]]The exact inference and prediction intervals for the K-sample exponential scale paramete...
[[abstract]]In this paper, we propose the weighted moments estimators (WMEs) of the scale parameter ...
We study the problem of predicting future records based on observed order statistics from two parame...
[[abstract]]The interval estimation of the scale parameter and the joint confidence region of the pa...
The Bayesian interval estimation of the scale parameter for two-parameter exponential distribution i...
[[abstract]]The prediction intervals proposed by J. F. Lawless (1971) and G. S. Lingappaiah (1973) f...
The interval estimation of the survival function of the two-parameter exponential distribution on th...
In applied work, the two-parameter exponential distribution gives useful representations of many phy...
Mixed exponential distributions play a significant role in lifetime data analysis, but if we use tra...
[[abstract]]Wu (2015) proposed the general weighted moments estimators (GWMEs) of the scale paramete...
Wu utilized the general weighted moments estimator (GWMEs) of the scale parameter of the one-paramet...
[[abstract]]The interval estimation of the scale parameter and the joint confidence region of the pa...
[[abstract]]In this paper, we make use of an algorithm of Huffer & Lin (2001) in order to develop ex...
[[abstract]]In this paper, we make use of an algorithm of Huffer and Lin (2001) in order to develop ...
[[abstract]]Exact inference for the location and scale parameters as well as prediction intervals fo...
[[abstract]]The exact inference and prediction intervals for the K-sample exponential scale paramete...
[[abstract]]In this paper, we propose the weighted moments estimators (WMEs) of the scale parameter ...
We study the problem of predicting future records based on observed order statistics from two parame...
[[abstract]]The interval estimation of the scale parameter and the joint confidence region of the pa...
The Bayesian interval estimation of the scale parameter for two-parameter exponential distribution i...
[[abstract]]The prediction intervals proposed by J. F. Lawless (1971) and G. S. Lingappaiah (1973) f...
The interval estimation of the survival function of the two-parameter exponential distribution on th...
In applied work, the two-parameter exponential distribution gives useful representations of many phy...
Mixed exponential distributions play a significant role in lifetime data analysis, but if we use tra...