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Diffstat (limited to 'data/nist/Rat43.dat')
| -rw-r--r-- | data/nist/Rat43.dat | 75 |
1 files changed, 75 insertions, 0 deletions
diff --git a/data/nist/Rat43.dat b/data/nist/Rat43.dat new file mode 100644 index 0000000..347d846 --- /dev/null +++ b/data/nist/Rat43.dat @@ -0,0 +1,75 @@ +NIST/ITL StRD
+Dataset Name: Rat43 (Rat43.dat)
+
+File Format: ASCII
+ Starting Values (lines 41 to 44)
+ Certified Values (lines 41 to 49)
+ Data (lines 61 to 75)
+
+Procedure: Nonlinear Least Squares Regression
+
+Description: This model and data are an example of fitting
+ sigmoidal growth curves taken from Ratkowsky (1983).
+ The response variable is the dry weight of onion bulbs
+ and tops, and the predictor variable is growing time.
+
+
+Reference: Ratkowsky, D.A. (1983).
+ Nonlinear Regression Modeling.
+ New York, NY: Marcel Dekker, pp. 62 and 88.
+
+
+
+
+
+Data: 1 Response (y = onion bulb dry weight)
+ 1 Predictor (x = growing time)
+ 15 Observations
+ Higher Level of Difficulty
+ Observed Data
+
+Model: Exponential Class
+ 4 Parameters (b1 to b4)
+
+ y = b1 / ((1+exp[b2-b3*x])**(1/b4)) + e
+
+
+
+ Starting Values Certified Values
+
+ Start 1 Start 2 Parameter Standard Deviation
+ b1 = 100 700 6.9964151270E+02 1.6302297817E+01
+ b2 = 10 5 5.2771253025E+00 2.0828735829E+00
+ b3 = 1 0.75 7.5962938329E-01 1.9566123451E-01
+ b4 = 1 1.3 1.2792483859E+00 6.8761936385E-01
+
+Residual Sum of Squares: 8.7864049080E+03
+Residual Standard Deviation: 2.8262414662E+01
+Degrees of Freedom: 9
+Number of Observations: 15
+
+
+
+
+
+
+
+
+
+
+Data: y x
+ 16.08E0 1.0E0
+ 33.83E0 2.0E0
+ 65.80E0 3.0E0
+ 97.20E0 4.0E0
+ 191.55E0 5.0E0
+ 326.20E0 6.0E0
+ 386.87E0 7.0E0
+ 520.53E0 8.0E0
+ 590.03E0 9.0E0
+ 651.92E0 10.0E0
+ 724.93E0 11.0E0
+ 699.56E0 12.0E0
+ 689.96E0 13.0E0
+ 637.56E0 14.0E0
+ 717.41E0 15.0E0
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