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Exploring a concurrence-chains paradox decreasing preference as an initial link is shortened. J Exp Psychol: Anim Behav 31(1):3–17. 34 the standard split plot experiment design Mead, R. (1988). The Design of Experiments: Statistical Principles for Practical Application, Cambridge University Press, Cambridge, New York, Port Chester, Melbourne, Sydney, Chapter 14, pp. 1–628. Raghavarao, D. (1983). 15, pp. 1–271. Snedecor, G. W. and W. G. Cochran. (1980). Statistical Methods, Seventh edition. Iowa State University Press, Ames, Iowa, pp.

In baking and industrial experiments, a single batch may be divided into b speus for the b split plot treatments. Any factor affecting the batch affects all b speus. They assumed that the following correlation structure holds: E½ehik ehij Š ¼ rs2e and E½ehij erst Š ¼ 0; j 6¼ k; hij 6¼ rst ð1:23Þ The random split plot error terms in the same whole plot have covariance rs2e and those in different whole plots have zero covariance, that is, they are un-correlated. Consider the case where factor B has b ¼ 2 levels.

1–631. Khargonkar, S. A. (1948). The estimation of missing value in split-plot and strip-plot trials. J Indian Soc of Agric Stat 1:147–161. , C. M. Herdman, and K. R. Johannsdottier. (2005). Object based attention and cognitive tunneling. J Exp Psychol 11(1):3–12. Kirk, R. E. (1968). Experimental Design: Procedures for the Behavioral Sciences, Brooks/ Cole Publishing Company, Belmont, California, pp. 245–318. Leonard, W. H. and A. G. Clark. (1938). Field Plot Technique, Class Notes, Agronomy Department, Colorado State University, Fort Collins, Colorado, copyright by authors.

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