This article provides a method using the probability papers for point and interval predictions of future order statistics, on the basis of Type II censored samples from the Weibull and Extreme-Value distribution. First we propose two-point predictor for the point prediction problem and the problem of choosing plotting position are studied. Second we give the method to construct the prediction interval of the future order statistics using the two-point predictor.This article provides a method using the probability papers for point and interval predictions of future order statistics, on the basis of Type II censored samples from the Weibull and Extreme-Value distribution. First we propose two-point predictor for the point prediction problem a...
Abstract: Using a conditional method, explicit formulae for computing quantiles pertinent to predict...
Using a conditional method, explicit formulae for computing quantiles pertinent to prediction interv...
[[abstract]]In this paper, we make use of an algorithm of Huffer & Lin (2001) in order to develop ex...
This article proposes a simple method of constructing predictors of future order statistics based on...
This paper gives some results of study of predicting the future order statistics from the two-parame...
Two-sample point prediction is considered for a two-parameter exponential distribution. Several poin...
The principle of type II maximum likelihood is applied to the prediction of a future random variable...
We study the problem of predicting future records based on observed order statistics from two parame...
The main focus of the dissertation is on point prediction in models of ordered data comprised by the...
This paper describes the results of a study of the maximum likelihood predictor of future order stat...
This paper studies a discriminant problem of location-scale family in case of prediction from type I...
AbstractThe competing risks model may be of great importance for an investigator in medical studies ...
AbstractIn this paper, two sample Bayesian prediction intervals for order statistics (OS) are obtain...
This paper studies a discriminant problem of location-scale family in case of prediction from type I...
This paper focuses on the Bayesian prediction of kth ordered future observations modelled by a two-c...
Abstract: Using a conditional method, explicit formulae for computing quantiles pertinent to predict...
Using a conditional method, explicit formulae for computing quantiles pertinent to prediction interv...
[[abstract]]In this paper, we make use of an algorithm of Huffer & Lin (2001) in order to develop ex...
This article proposes a simple method of constructing predictors of future order statistics based on...
This paper gives some results of study of predicting the future order statistics from the two-parame...
Two-sample point prediction is considered for a two-parameter exponential distribution. Several poin...
The principle of type II maximum likelihood is applied to the prediction of a future random variable...
We study the problem of predicting future records based on observed order statistics from two parame...
The main focus of the dissertation is on point prediction in models of ordered data comprised by the...
This paper describes the results of a study of the maximum likelihood predictor of future order stat...
This paper studies a discriminant problem of location-scale family in case of prediction from type I...
AbstractThe competing risks model may be of great importance for an investigator in medical studies ...
AbstractIn this paper, two sample Bayesian prediction intervals for order statistics (OS) are obtain...
This paper studies a discriminant problem of location-scale family in case of prediction from type I...
This paper focuses on the Bayesian prediction of kth ordered future observations modelled by a two-c...
Abstract: Using a conditional method, explicit formulae for computing quantiles pertinent to predict...
Using a conditional method, explicit formulae for computing quantiles pertinent to prediction interv...
[[abstract]]In this paper, we make use of an algorithm of Huffer & Lin (2001) in order to develop ex...