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Diffstat (limited to 'data/nist/DanWood.dat')
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1 files changed, 66 insertions, 0 deletions
diff --git a/data/nist/DanWood.dat b/data/nist/DanWood.dat new file mode 100644 index 0000000..479a9bd --- /dev/null +++ b/data/nist/DanWood.dat @@ -0,0 +1,66 @@ +NIST/ITL StRD
+Dataset Name: DanWood (DanWood.dat)
+
+File Format: ASCII
+ Starting Values (lines 41 to 42)
+ Certified Values (lines 41 to 47)
+ Data (lines 61 to 66)
+
+Procedure: Nonlinear Least Squares Regression
+
+Description: These data and model are described in Daniel and Wood
+ (1980), and originally published in E.S.Keeping,
+ "Introduction to Statistical Inference," Van Nostrand
+ Company, Princeton, NJ, 1962, p. 354. The response
+ variable is energy radieted from a carbon filament
+ lamp per cm**2 per second, and the predictor variable
+ is the absolute temperature of the filament in 1000
+ degrees Kelvin.
+
+Reference: Daniel, C. and F. S. Wood (1980).
+ Fitting Equations to Data, Second Edition.
+ New York, NY: John Wiley and Sons, pp. 428-431.
+
+
+Data: 1 Response Variable (y = energy)
+ 1 Predictor Variable (x = temperature)
+ 6 Observations
+ Lower Level of Difficulty
+ Observed Data
+
+Model: Miscellaneous Class
+ 2 Parameters (b1 and b2)
+
+ y = b1*x**b2 + e
+
+
+
+ Starting values Certified Values
+
+ Start 1 Start 2 Parameter Standard Deviation
+ b1 = 1 0.7 7.6886226176E-01 1.8281973860E-02
+ b2 = 5 4 3.8604055871E+00 5.1726610913E-02
+
+Residual Sum of Squares: 4.3173084083E-03
+Residual Standard Deviation: 3.2853114039E-02
+Degrees of Freedom: 4
+Number of Observations: 6
+
+
+
+
+
+
+
+
+
+
+
+
+Data: y x
+ 2.138E0 1.309E0
+ 3.421E0 1.471E0
+ 3.597E0 1.490E0
+ 4.340E0 1.565E0
+ 4.882E0 1.611E0
+ 5.660E0 1.680E0
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