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A comparison of six methods of analysing row-column designs with inter-block information

Journal Article


Abstract


  • Six methods of obtaining estimates of treatment effects in a row-column design are considered. Five methods use estimates of inter-row and inter-column variation, and the remaining method is Ordinary Least Squares. Using simulation, these methods are examined to see which are most appropriate for minimising the sum of the squared differences between the estimates of the elementary treatment contrasts and their true values. Recommendations are made of which methods to use.

UOW Authors


  •   Russell, Ken G. (external author)

Publication Date


  • 1999

Citation


  • Russell, K. G. (1999). A comparison of six methods of analysing row-column designs with inter-block information. Statistics and Computing, 9(3), 239-246. doi:10.1023/A:1008934318578

Scopus Eid


  • 2-s2.0-0041544927

Web Of Science Accession Number


Start Page


  • 239

End Page


  • 246

Volume


  • 9

Issue


  • 3

Abstract


  • Six methods of obtaining estimates of treatment effects in a row-column design are considered. Five methods use estimates of inter-row and inter-column variation, and the remaining method is Ordinary Least Squares. Using simulation, these methods are examined to see which are most appropriate for minimising the sum of the squared differences between the estimates of the elementary treatment contrasts and their true values. Recommendations are made of which methods to use.

UOW Authors


  •   Russell, Ken G. (external author)

Publication Date


  • 1999

Citation


  • Russell, K. G. (1999). A comparison of six methods of analysing row-column designs with inter-block information. Statistics and Computing, 9(3), 239-246. doi:10.1023/A:1008934318578

Scopus Eid


  • 2-s2.0-0041544927

Web Of Science Accession Number


Start Page


  • 239

End Page


  • 246

Volume


  • 9

Issue


  • 3