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Principles of nonlinear regression modeling |
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| Authors: | David A. Ratkowsky |
| Affiliation: | (1) Department of Primary Industry, Tasmania, Mt Pleasant Laboratories, Kings Meadows, PO Box 46, 7249, Tas., Australia;(2) o/c Prof. T. A. McMeekin, Dept. of Agricultural Science, University of Tasmania, G.P.O. Box 252C, 7001 Horbat, Tasmania, Australia |
| Abstract: | Summary Five principles govern the selection of nonlinear regression models for bacterial growth. Examples are given of the various ways in which researchers have approached the problems of nonlinear regression modeling together with some discussion of linear modeling.Reference to a brand or firm name does not constitute endorsement by the US Department of Agriculture over others of a similar nature not mentioned. |
| Keywords: | Nonlinear models Parsimony Parameterization Range of applicability Stochastic assumption Interpretability |
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