2005Communication in Statistics- Theory and MethodsRequires access

On Selecting Among Treatments with Binomial Outcomes

Elena M. Buzaianu, Pinyuen Chen

Open publisher page 10 citations

Abstract

Most of the procedures for selecting one of the best among several experimental treatments under the binomial setting are based on applying the normal theory to the discrete data. Consequently, they may not be safely applied when dealing with small sample sizes. This article considers exact derivations and the applications of the LFCs for certain binomial procedures.

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What this paper is about

Most of the procedures for selecting one of the best among several experimental treatments under the binomial setting are based on applying the normal theory to the discrete data. Consequently, they may not be safely applied when dealing with small sample sizes. This article considers exact derivations and the applications of the LFCs for certain binomial procedures.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Most of the procedures for selecting one of the best among several experimental treatments under the binomial setting are based on applying the normal theory to the discrete data. Consequently, they may not be safely applied when dealing with small sample sizes. This article considers exact derivations and the applications of the LFCs for certain binomial procedures.

Key concepts: Binomial (polynomial), Binomial distribution, Computer science, Sample size determination, Negative binomial distribution, Sample (material), Econometrics, Continuity correction

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