ALL-PAIRWISE MULTIPLE COMPARISON FOR NORMAL VARIANCES

Testing equality of variances for multiple univariate normal populations

A Multiple Comparison Procedure for Populations with Unequal Variances

This article investigates an exact method that extends Dunnett’s method on the multiple comparisons with a control (MCC) to the case of unequal error variances when the ratios of population variances of k new treatments to that of the control group are known from previous experience. The advantages of the proposed method is illustrated through an example. The simulation results show that the ty...

Multiple Comparisons with a Control for Multiply-classified Variances of Normal Populations*

Pairwise multiple comparisons: a model comparison approach versus stepwise procedures.

Researchers in the behavioural sciences have been presented with a host of pairwise multiple comparison procedures that attempt to obtain an optimal combination of Type I error control, power, and ease of application. However, these procedures share one important limitation: intransitive decisions. Moreover, they can be characterized as a piecemeal approach to the problem rather than a holistic...

Choice Procedures in Pairwise Comparison Multiple-Attribute Decision Making Methods

We consider extensions of some classical rational axioms introduced in conventional choice theory to valued preference relations. The concept of kernel is revisited using two ways: one proposes to determine kernels with a degree of qualification and the other presents a fuzzy kernel where every element of the support belongs to the rational choice set with a membership degree. Links between the...