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Keywords: nonlinear regression, pure error, goodness of fit
The data are from a Proctor and Gamble study reported by Smith and Dubey (1964) on the amount of available chlorine in a product as a function of time since manufacture. Theoretical considerations lead to the model
Chlorine = a + (0.49 - a) exp{ -b (Weeks - 8) }
Variable | Description | ||
Weeks | Time in weeks since manufacture | ||
Chlorine | Available chlorine | ||
Data File (tab-delimited text)
Jennrich, R. I., and Bright, P. B. (1976). Fitting systems of linear differential equations using computer generated exact derivatives. Technometrics 18, 385-392. |
Jennrich, R. I. (1995). An Introduction to Computational Statistics. Prentice-Hall, Englewood Cliffs, New Jersey. Section 8.2.1. |
The plot gives the data and the theoretical curve fitted by least squares:
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