Article Abstract:
Between units variance is estimated to provide the determination of optimum unit size. A randomization model is used to yield the experimental units without assumptions. Explicit formulae are derived for completely randomized, randomized block, and balanced incomplete block designs.
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Article Abstract:
The Cramer-Rad inequality theorem is extended to consider the problem of estimating a vector interesting parameter in the presence of nuisance parameters. Matrix standardization and optimization is achieved. A minimum variance concept is introduced.
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Article Abstract:
New methods are presented for fixed concentrations and large samples. An asymptotic equivalency is developed for likelihood ratio statistics. A geometric form is presented for ease in explanation.
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