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\footnotesize
\noindent Statistica Sinica {\bf 13}(2003), 727-737

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\centerline{\large\bf ON ADAPTIVE ESTIMATION IN ORTHOGONAL}
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\centerline{\large\bf SATURATED DESIGNS}
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\author{Weizhen Wang and Daniel T. Voss}
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\centerline{\it Wright State University}
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\begin{quotation}
\noindent {\it Abstract:}
A simple method is provided to construct a general class of
individual and simultaneous confidence intervals for the effects in
orthogonal saturated designs. These intervals use the data adaptively,
maintain the confidence levels sharply at $1-\alpha$ at the least
favorable parameter configuration, work effectively under effect
sparsity,
and include the intervals by Wang and Voss (2001) as a special case.\par
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\noindent {\it Key words and phrases:}
Effect sparsity, factorial design, minimum function,
symmetric unimodal distribution.\par
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