In this paper we consider the problem of constructing a set of fixed-width simultaneous confidence intervals for all-pairwise differences of the means of k independent normal populations with a common unknown variance. A sequential procedure is necessary to achieve this goal. For the pure sequential procedure considered in this paper, the second order approximations to the confidence level and the expected sample size are given. A recursive method for the exact calculations of the confidence level and the expected sample size is also provided. Comparisons between the second order approximations and the exact calculations are carried out to indicate when the approximations are reasonably accurate
The problem of interval estimation of the common mean of several normal populations when the varianc...
There are many situations where it is desired to make simultaneous tests or give simultaneous confid...
The problem of interval estimation of the common mean of several normal populations when the varianc...
We proposed a statistical method to construct simultaneous confidence intervals on all linear combin...
We proposed a statistical method to construct simultaneous confidence intervals on all linear combin...
We proposed a statistical method to construct simultaneous confidence intervals on all linear combin...
AbstractThe problem of constructing fixed-width simultaneous confidence intervals for comparing mean...
The problem of constructing fixed-width simultaneous confidence intervals for comparing mean vectors...
In this paper we consider the problem of constructing exact confidence intervals for the common mean...
The central theme of this thesis is the construction of simultaneous confidence regions (SCR) corres...
In this paper we consider the problem of constructing exact confidence intervals for the common mean...
The central theme of this thesis is the construction of simultaneous confidence regions (SCR) corres...
There are many situations where it is desired to make simultaneous tests or give simultaneous confid...
Procedures for multiple comparisons with the best are investigated in the context of steady-state si...
<p>Intervals are computed by the max- method accounting for heteroscedasticity using the heterosceda...
The problem of interval estimation of the common mean of several normal populations when the varianc...
There are many situations where it is desired to make simultaneous tests or give simultaneous confid...
The problem of interval estimation of the common mean of several normal populations when the varianc...
We proposed a statistical method to construct simultaneous confidence intervals on all linear combin...
We proposed a statistical method to construct simultaneous confidence intervals on all linear combin...
We proposed a statistical method to construct simultaneous confidence intervals on all linear combin...
AbstractThe problem of constructing fixed-width simultaneous confidence intervals for comparing mean...
The problem of constructing fixed-width simultaneous confidence intervals for comparing mean vectors...
In this paper we consider the problem of constructing exact confidence intervals for the common mean...
The central theme of this thesis is the construction of simultaneous confidence regions (SCR) corres...
In this paper we consider the problem of constructing exact confidence intervals for the common mean...
The central theme of this thesis is the construction of simultaneous confidence regions (SCR) corres...
There are many situations where it is desired to make simultaneous tests or give simultaneous confid...
Procedures for multiple comparisons with the best are investigated in the context of steady-state si...
<p>Intervals are computed by the max- method accounting for heteroscedasticity using the heterosceda...
The problem of interval estimation of the common mean of several normal populations when the varianc...
There are many situations where it is desired to make simultaneous tests or give simultaneous confid...
The problem of interval estimation of the common mean of several normal populations when the varianc...