Blame data/nist/Rat43.dat
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NIST/ITL StRD
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Dataset Name: Rat43 (Rat43.dat)
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File Format: ASCII
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Starting Values (lines 41 to 44)
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Certified Values (lines 41 to 49)
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Data (lines 61 to 75)
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Procedure: Nonlinear Least Squares Regression
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Description: This model and data are an example of fitting
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sigmoidal growth curves taken from Ratkowsky (1983).
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The response variable is the dry weight of onion bulbs
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and tops, and the predictor variable is growing time.
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Reference: Ratkowsky, D.A. (1983).
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Nonlinear Regression Modeling.
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New York, NY: Marcel Dekker, pp. 62 and 88.
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Data: 1 Response (y = onion bulb dry weight)
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1 Predictor (x = growing time)
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15 Observations
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Higher Level of Difficulty
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Observed Data
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Model: Exponential Class
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4 Parameters (b1 to b4)
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y = b1 / ((1+exp[b2-b3*x])**(1/b4)) + e
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Starting Values Certified Values
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Start 1 Start 2 Parameter Standard Deviation
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b1 = 100 700 6.9964151270E+02 1.6302297817E+01
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b2 = 10 5 5.2771253025E+00 2.0828735829E+00
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b3 = 1 0.75 7.5962938329E-01 1.9566123451E-01
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b4 = 1 1.3 1.2792483859E+00 6.8761936385E-01
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Residual Sum of Squares: 8.7864049080E+03
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Residual Standard Deviation: 2.8262414662E+01
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Degrees of Freedom: 9
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Number of Observations: 15
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Data: y x
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16.08E0 1.0E0
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33.83E0 2.0E0
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65.80E0 3.0E0
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97.20E0 4.0E0
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191.55E0 5.0E0
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326.20E0 6.0E0
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386.87E0 7.0E0
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520.53E0 8.0E0
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590.03E0 9.0E0
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651.92E0 10.0E0
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724.93E0 11.0E0
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699.56E0 12.0E0
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689.96E0 13.0E0
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637.56E0 14.0E0
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717.41E0 15.0E0
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