Analysis of tomato root initiation using a normal mixture distribution.

abstract

• 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.

authors

• Carroll, Raymond

published proceedings

• Biometrics

author list (cited authors)

• Gutierrez, R. G., Carroll, R. J., Wang, N., Lee, G. H., & Taylor, B. H.

citation count

• 26

complete list of authors

• Gutierrez, RG||Carroll, RJ||Wang, N||Lee, GH||Taylor, BH

publication date

• December 1995

publisher

• JSTOR  Publisher

published in

• Biometrics  Journal

keywords

• Biometry
• Genes, Reporter
• Likelihood Functions
• Lycopersicon Esculentum
• Plant Development

PubMed Central ID

• 8589233

Digital Object Identifier (DOI)

• 10.2307/2533276

start page

• 1461

end page

• 1468

volume

• 51

issue

• 4

URL

• http%3A%2F%2Fdx.doi.org%2F10.2307%2F2533276