5 research outputs found
Approximate confidence intervals for a linear combination of binomial proportions: A new variant
We propose a new adjustment for constructing an improved version of
theWald interval for linear combinations of binomial proportions, which
addresses the presence of extremal samples. A comparative simulation
study was carried out to investigate the performance of this new variant
with respect to the exact coverage probability, expected interval length,
and mesial and distal noncoverage probabilities. Additionally, we discuss
the application of a criterion for interpreting interval location in
the case of small samples and/or in situations in which extremal observations
exist. The confidence intervals obtained from the new variant performed better for some evaluation measures