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Analysis of Tomato Root Initiation Using a Normal Mixture Distribution
Roberto G. Gutierrez, Raymond J. Carroll, Naisyin Wang, Gyung-Hee Lee and Brian H. Taylor
Vol. 51, No. 4 (Dec., 1995), pp. 1461-1468
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2533276
Page Count: 8
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We attempt to identify the number of underlying physical phenomena behind tomato lateral root initiation by using a normal mixture distribution coupled with the Box-Cox power transformation. An initial analysis of the data suggested the possibility of two (possibly more) subpopulations, but upon taking reciprocals, the data appear to be very nearly Gaussian. A simulation study explores the possibility of erroneously detecting a second subpopulation by fitting data which are improperly scaled. A power calculation suggests that only unrealistically large sample sizes can detect the unbalanced mixtures one might expect with data of this type.
Biometrics © 1995 International Biometric Society