| 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 |