Abstract
Semi-Latin squares are generalizations of Latin squares with more than one letter in each cell. Various names given to them in the twentieth century are reviewed, along with their applications in several different areas. Methods of constructing them are given, as are the proper methods of randomization and data analysis. Some results are presented about which semi-Latin squares are optimal when considered as incomplete-block designs.
Original language | English |
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Title of host publication | Wiley StatsRef |
Subtitle of host publication | Statistics Reference Online |
Editors | Brian Everitt, Geert Molenberghs, Fabrizio Ruggeri, Walter Piegorsch, Marie Davidian, Ron Kenett |
Publisher | John Wiley & Sons, Ltd |
Pages | 1-8 |
ISBN (Electronic) | 9781118445112 |
DOIs | |
Publication status | Published - 15 May 2017 |
Keywords
- Design of experiments
- Incomplete-block-designs
- Optimal design
- Row-column designs
- semi-Latin square
- Split-plot design