Why is MIXED analysis underutilized?

Canadian Journal of Plant Science

Volumn 88, Issue 3, 2008, Pages 563-567

  Yang, Rong Cai ^a,b  

^a ALBERTA AGRICULTURE AND RURAL DEVELOPMENT   (Canada)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 54049113456     PISSN: 00084220     EISSN: None     Source Type: Journal    
DOI: 10.4141/cjps08400     Document Type: Letter

References (4)

1. Littell, R. C., Stroup, W. W. and Freund, R. J. 2002. SAS for linear modeis. 4th ed. SAS Institute, Inc., Cary, NC.
2. Littell, R. C., Milliken, G. A., Stroup, W. W., Wolfinger, R. D. and Schabenberger. O. 2006. SAS for mixed models. 2nd ed. SAS Institute, Inc., Cary, NC.
3. Steel, R. G. D., Torrie, J. H. and Dickey, D. A. 1997 Principles and procedures of statistics: a biometrical approach. 3rd ed. McGraw-Hill, New York, NY.
4. Stroup, W. W. 1989. Why mixed models? Pages 1-8 in Applications of mixed models in agriculture and related disciplines. Southern Cooperative Series Bulletin No. 343, Louisiana Agricultural Experiment Station, Baton Rouge, LA.