For square contingency tables, the measure to represent the degree
of departure from the partial symmetry model was proposed. It is necessary
to estimate the measure because it is constructed of unknown parameters. Although
many studies consider using the plug-in estimator to estimate the measure,
the bias of the plug-in estimator is large when the sample size is not so
large. In this study, we consider to estimate the measure when the sample size
is not so large. This paper presents the improved approximate unbiased estimators
of the measure which are obtained using the second-order term in Taylor
series expansion. Some simulation studies show the performances of proposed
estimators for finite sample casesdepartmental bulletin pape
