Now showing items 1-6 of 6
Decomposition tables for experiments. II. Two–one randomizations
(2010-10) - Journal article
We investigate structure for pairs of randomizations that do not follow each other in a chain. These are unrandomized-inclusive, independent, coincident or double randomizations. This involves taking several structures ...
Inference from randomized (factorial) experiments
(2017) - Journal article
This is a contribution to the discussion of the interesting paper by Ding [Statist. Sci. 32 (2017) 331–345], which contrasts approaches attributed to Neyman and Fisher. I believe that Fisher’s usual assumption was ...
Decomposition tables for experiments I. A chain of randomizations
(2009-12) - Journal article
One aspect of evaluating the design for an experiment is the discovery of the relationships between subspaces of the data space. Initially we establish the notation and methods for evaluating an experiment with a single ...
Sesqui-arrays, a generalisation of triple arrays
(2018-06-01) - Journal article
A triple array is a rectangular array containing letters, each letter occurring equally often with no repeats in rows or columns, such that the number of letters common to two rows, two columns, or a row and a column are ...
Nested row-column designs for near-factorial experiments with two treatment factors and one control treatment
(2015-10) - Journal article
This paper presents some methods of designing experiments in a block design with nested rows and columns. The treatments consist of all combinations of levels of two treatment factors, with an additional control treatment.
Optimal cross-over designs for full interaction models
(2014-11) - Journal article
We consider repeated measurement designs when a residual or carry-over effect may be present in at most one later period. Since assuming an additive model may be unrealistic for some applications and leads to biased ...