On Selecting Among Treatments with Binomial Outcomes
Elena M. Buzaianu, Pinyuen Chen
Abstract
Elena M. Buzaianu, Pinyuen Chen
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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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