In this paper, we derived an expression for the variance of treatment means in a split plot design with sampling using the variance components associated with the whole plot, split plot and sampling errors. The result from the data analysis shows that relative efficiency increases with increase in sample size while variance of treatment means decreases with increase in sample size.
Anwesha, B. (2012). Cross cultural variance of Schizophrenia in symptoms, diagnosis and treatments. George Town Journal of Health Science, 2: 18-24.
Barun, K. N. (2010). Understanding the relevance of sample size calculation. Indian J. Ophthalmology, 58(6): 469-470.
Braun, W. J. (2012). Naive analysis of variance. Journal of Statistical Education, 20(2):1-17.
Caimiao, W., Jiangning L. and Roger E. B. (2004). Sample size for detecting differentially expressed genes in microarray experiments. BMC Genomics, 5: 87.
Cohen, J. (1977). Statistical Power Analysis for the Behavioral Sciences. New York:Academic press.
Jonathan, J. D., Petra, M. and Les, I. (2005). The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. Journal of Clinical Epidemiology, 58(9) : 882-893.
Montgomery, D. C. (2001). Design and Analysis of Experiment (Fifth Edition). John Wiley and Sons, Inc. New York.
Martin, K. and Naomi A. (2014). Point of significance: analysis of variance and blocking. Nature Methods, 11, 699-700.
Russell, V. (2001). Some practical guidelines for eective sample size determination.American Statistician, 55(3), 187-193
Nikulin, M.S. (2001). Encyclopedia of Mathematics. Springer (Place of publication).Sahai, H. and Ojede, M. M. (2003). Analysis of Variance for Random Models. Volume 1: Balanced Data. Springer Science+Business Media, LLC.
SHARE WITH OTHERS