Results 271 to 280 of about 606,124 (320)
Means and Variances of Treatments from a Randomized Complete Block Design with Missing Plots
, 1958 Walter T. Fédérer, Oivind Nissen
openalex +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
1991
In preceding chapters our measurements have largely arisen through applying experimental treatments to experimental units. For example, we measured the “bulk” of two and three day conditioned samples of wool. When the experimental units are entirely uniform, the only major influence on the measured value is the treatment.
David J. Saville, Graham R. Wood
openaire +1 more source
In preceding chapters our measurements have largely arisen through applying experimental treatments to experimental units. For example, we measured the “bulk” of two and three day conditioned samples of wool. When the experimental units are entirely uniform, the only major influence on the measured value is the treatment.
David J. Saville, Graham R. Wood
openaire +1 more source
2009
Simple random allocation designs in RCTs cannot always guarantee balance in terms of variance, between-group size, or covariant effects. This is particularly the case in smaller trials of a few hundred units or less. These imbalances pose threats to the power of statistical tests, as well as to the precision of treatment estimates.
Barak Ariel, David P. Farrington
openaire +1 more source
Simple random allocation designs in RCTs cannot always guarantee balance in terms of variance, between-group size, or covariant effects. This is particularly the case in smaller trials of a few hundred units or less. These imbalances pose threats to the power of statistical tests, as well as to the precision of treatment estimates.
Barak Ariel, David P. Farrington
openaire +1 more source
2019
This chapter introduces permutation methods for multiple matched samples, i.e., randomized-blocks designs. Included in this chapter are six example analyses illustrating computation of exact permutation probability values for randomized-blocks designs, calculation of measures of effect size for randomized-blocks designs, the effect of extreme values on
Kenneth J. Berry +2 more
openaire +1 more source
This chapter introduces permutation methods for multiple matched samples, i.e., randomized-blocks designs. Included in this chapter are six example analyses illustrating computation of exact permutation probability values for randomized-blocks designs, calculation of measures of effect size for randomized-blocks designs, the effect of extreme values on
Kenneth J. Berry +2 more
openaire +1 more source
Randomized Complete Block Design
Journal of Quality Technology, 1978A computer program is given which assists in analyzing data obtained from a randomized complete block experimental design with one observation per treatment-block combination.
openaire +1 more source
Approximate Design Theory for a Simple Block Design with Random Block Effects [PDF]
, 1985 A simple block design with treatment effects fixed and block effects random is considered. It is shown that the sole design class which is amenable to an analysis is formed by all designs which are equi-blocksized. In this setting the block totals induce a new model, the interblock model, in which the mean vector depends linearly on the design matrix ...
Christof, K., Pukelsheim, Friedrich
openaire +1 more source