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Sameer Agarwalea117042012-08-29 18:18:48 -07001NIST/ITL StRD
2Dataset Name: Rat43 (Rat43.dat)
3
4File Format: ASCII
5 Starting Values (lines 41 to 44)
6 Certified Values (lines 41 to 49)
7 Data (lines 61 to 75)
8
9Procedure: Nonlinear Least Squares Regression
10
11Description: This model and data are an example of fitting
12 sigmoidal growth curves taken from Ratkowsky (1983).
13 The response variable is the dry weight of onion bulbs
14 and tops, and the predictor variable is growing time.
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17Reference: Ratkowsky, D.A. (1983).
18 Nonlinear Regression Modeling.
19 New York, NY: Marcel Dekker, pp. 62 and 88.
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25Data: 1 Response (y = onion bulb dry weight)
26 1 Predictor (x = growing time)
27 15 Observations
28 Higher Level of Difficulty
29 Observed Data
30
31Model: Exponential Class
32 4 Parameters (b1 to b4)
33
34 y = b1 / ((1+exp[b2-b3*x])**(1/b4)) + e
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36
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38 Starting Values Certified Values
39
40 Start 1 Start 2 Parameter Standard Deviation
41 b1 = 100 700 6.9964151270E+02 1.6302297817E+01
42 b2 = 10 5 5.2771253025E+00 2.0828735829E+00
43 b3 = 1 0.75 7.5962938329E-01 1.9566123451E-01
44 b4 = 1 1.3 1.2792483859E+00 6.8761936385E-01
45
46Residual Sum of Squares: 8.7864049080E+03
47Residual Standard Deviation: 2.8262414662E+01
48Degrees of Freedom: 9
49Number of Observations: 15
50
51
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54
55
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58
59
60Data: y x
61 16.08E0 1.0E0
62 33.83E0 2.0E0
63 65.80E0 3.0E0
64 97.20E0 4.0E0
65 191.55E0 5.0E0
66 326.20E0 6.0E0
67 386.87E0 7.0E0
68 520.53E0 8.0E0
69 590.03E0 9.0E0
70 651.92E0 10.0E0
71 724.93E0 11.0E0
72 699.56E0 12.0E0
73 689.96E0 13.0E0
74 637.56E0 14.0E0
75 717.41E0 15.0E0