We consider the problem of comparing predictive intervals for a future observation via their expected lengths at a given confidence level. A higher order asymptotic theory is developed. This yields an explicit formula for expected length comparison and associated admissibility results. Illustrative examples are given
In many different contexts, decision making is improved by the availability of probabilistic predict...
We address the classic problem of interval estimation of a binomial proportion. The Wald interval p^...
In many real-life situations, we are interested in the value of a physical quantity y that is diffic...
With reference to a large class of test statistics, higher-order asymptotics on expected lengths of ...
We consider a very general class of empirical discrepancy statistics that includes the Cressie-Read ...
We explore two proposals for finding empirical Bayes prediction intervals under a normal regression ...
Starting from an unbiased estimating function and the corresponding quasi-likelihood, we consider a ...
We explore two proposals for finding empirical Bayes prediction intervals under a normal regression ...
ABSTRACT (Continue on reverme elde It neceeemry and Identity by block number) In this thesis we exte...
The paper is motivated by the need to handle robustly the uncertainty of temporal intervals, e.g. as...
[[abstract]]The prediction intervals proposed by J. F. Lawless (1971) and G. S. Lingappaiah (1973) f...
In this paper, we generalize the work by Lawless (1971) and Lingappaiah (1973) for predicting future...
One of the main applications of science and engineering is to predict future value of different quan...
We study the problem of predicting future records based on observed order statistics from two parame...
We address the classic problem of interval estimation of a binomial proportion. The Wald interval p...
In many different contexts, decision making is improved by the availability of probabilistic predict...
We address the classic problem of interval estimation of a binomial proportion. The Wald interval p^...
In many real-life situations, we are interested in the value of a physical quantity y that is diffic...
With reference to a large class of test statistics, higher-order asymptotics on expected lengths of ...
We consider a very general class of empirical discrepancy statistics that includes the Cressie-Read ...
We explore two proposals for finding empirical Bayes prediction intervals under a normal regression ...
Starting from an unbiased estimating function and the corresponding quasi-likelihood, we consider a ...
We explore two proposals for finding empirical Bayes prediction intervals under a normal regression ...
ABSTRACT (Continue on reverme elde It neceeemry and Identity by block number) In this thesis we exte...
The paper is motivated by the need to handle robustly the uncertainty of temporal intervals, e.g. as...
[[abstract]]The prediction intervals proposed by J. F. Lawless (1971) and G. S. Lingappaiah (1973) f...
In this paper, we generalize the work by Lawless (1971) and Lingappaiah (1973) for predicting future...
One of the main applications of science and engineering is to predict future value of different quan...
We study the problem of predicting future records based on observed order statistics from two parame...
We address the classic problem of interval estimation of a binomial proportion. The Wald interval p...
In many different contexts, decision making is improved by the availability of probabilistic predict...
We address the classic problem of interval estimation of a binomial proportion. The Wald interval p^...
In many real-life situations, we are interested in the value of a physical quantity y that is diffic...
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