Randomization is the key to experimental design structure

Article Abstract:

Randomized factorial experiments have a range of desirable properties. There are many reasons for this, including the fact that the statistical analysis of data from experiments is usually simplest when factors are simultaneously altered using relevant randomization and the fact that, when the levels of factors are simultaneously changed in random order, there is the best chance that unknown biases will be averaged across the levels of the factors. It is important not to overlook or fear simultaneous changes of factor levels and randomization in the design of an experiment or in the assessment of data from designed experiments.

Analysis, Factorial experiment designs

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One way to moderate ceiling effects

Article Abstract:

The different ways in which interactions can moderate some of the ceiling effects in regression model fits is focused. Ceiling effects can cause a number of difficulties when interpreting the fit and drawing inferences.

United States, Influence, Regression analysis

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INferences on percentage changes: A popular approach to the problem of inferences on functions of averages

Article Abstract:

The problem of inferences on functions of averages is considered with regard to propagation of error formula.

Research, Statistics, Statistics (Data)

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