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- 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
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- Residual Sum of Squares: 4.3173084083E-03
- Residual Standard Deviation: 3.2853114039E-02
- Degrees of Freedom: 4
- Number of Observations: 6
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- 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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