We revisit the bounded maximal risk point estimation problem as well as the fixed-width confidence interval estimation problem for the largest mean amongk(?2) independent normal populations having unknown means and unknown but equal variance. In the point estimation setup, we devise appropriate two-stage and modified two-stage methodologies so that the associatedmaximal risk can bebounded from aboveexactly by a preassigned positive number. Kuo and Mukhopadhyay (1990), however, emphasized only the asymptotics in this context. We have also introduced, in both point and interval estimation problems,accelerated sequential methodologies thereby saving sampling operations tremendously over the purely sequential schemes considered in Kuo and Mukho...
We study a k-stage > sequential estimation procedure which includes the three-stage procedure of ...
One of the fundamental problems in statistical estimation theory is the minimum risk point estimatio...
Sequential sampling techniques are very useful when there is a significant cost in obtaining observa...
Two-stage procedure, modified two-stage procedure, exact bounded maximal risk, fixed-width confidenc...
Unknown common variance, sequential procedure, three-stage procedure, maximal risk, second-order app...
[[abstract]]A single-stage sampling procedure is proposed for obtaining a nearly optimal confidence ...
This thesis will consider two problems in sequential analysis. A new two-stage sampling methodology ...
This paper considers the problem of estimation when one of a number of populations, assumed normal w...
This paper considers the problem of estimation when one of a number of populations, assumed normal w...
Mukhopadhyay and Cicconetti \cite{mc2004} derived the Maximum Likelihood Estimator (MLE) and the Uni...
This dissertation will look at three problems in the area of sequential analysis. The first problem ...
Taking into consideration the relationship among the 'optimal' fixed sample size solutions of estima...
Purely sequential procedure has been widely studied in different inference problems. However, in pur...
[[abstract]]A single-sample procedure for obtaining an optimal confidence interval for the largest o...
This thesis consists of multi-stage methodologies handling two fundamental estimation problems. Thes...
We study a k-stage > sequential estimation procedure which includes the three-stage procedure of ...
One of the fundamental problems in statistical estimation theory is the minimum risk point estimatio...
Sequential sampling techniques are very useful when there is a significant cost in obtaining observa...
Two-stage procedure, modified two-stage procedure, exact bounded maximal risk, fixed-width confidenc...
Unknown common variance, sequential procedure, three-stage procedure, maximal risk, second-order app...
[[abstract]]A single-stage sampling procedure is proposed for obtaining a nearly optimal confidence ...
This thesis will consider two problems in sequential analysis. A new two-stage sampling methodology ...
This paper considers the problem of estimation when one of a number of populations, assumed normal w...
This paper considers the problem of estimation when one of a number of populations, assumed normal w...
Mukhopadhyay and Cicconetti \cite{mc2004} derived the Maximum Likelihood Estimator (MLE) and the Uni...
This dissertation will look at three problems in the area of sequential analysis. The first problem ...
Taking into consideration the relationship among the 'optimal' fixed sample size solutions of estima...
Purely sequential procedure has been widely studied in different inference problems. However, in pur...
[[abstract]]A single-sample procedure for obtaining an optimal confidence interval for the largest o...
This thesis consists of multi-stage methodologies handling two fundamental estimation problems. Thes...
We study a k-stage > sequential estimation procedure which includes the three-stage procedure of ...
One of the fundamental problems in statistical estimation theory is the minimum risk point estimatio...
Sequential sampling techniques are very useful when there is a significant cost in obtaining observa...