70 lines
1.9 KiB
Plaintext
70 lines
1.9 KiB
Plaintext
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NIST/ITL StRD
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Dataset Name: Rat42 (Rat42.dat)
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File Format: ASCII
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Starting Values (lines 41 to 43)
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Certified Values (lines 41 to 48)
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Data (lines 61 to 69)
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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 pasture yield, and the
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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. 61 and 88.
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Data: 1 Response (y = pasture yield)
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1 Predictor (x = growing time)
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9 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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3 Parameters (b1 to b3)
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y = b1 / (1+exp[b2-b3*x]) + 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 75 7.2462237576E+01 1.7340283401E+00
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b2 = 1 2.5 2.6180768402E+00 8.8295217536E-02
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b3 = 0.1 0.07 6.7359200066E-02 3.4465663377E-03
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Residual Sum of Squares: 8.0565229338E+00
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Residual Standard Deviation: 1.1587725499E+00
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Degrees of Freedom: 6
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Number of Observations: 9
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Data: y x
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8.930E0 9.000E0
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10.800E0 14.000E0
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18.590E0 21.000E0
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22.330E0 28.000E0
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39.350E0 42.000E0
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56.110E0 57.000E0
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61.730E0 63.000E0
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64.620E0 70.000E0
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67.080E0 79.000E0
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