| Sameer Agarwal | ea11704 | 2012-08-29 18:18:48 -0700 | [diff] [blame] | 1 | NIST/ITL StRD
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| 2 | Dataset Name: DanWood (DanWood.dat)
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| 3 |
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| 4 | File Format: ASCII
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| 5 | Starting Values (lines 41 to 42)
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| 6 | Certified Values (lines 41 to 47)
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| 7 | Data (lines 61 to 66)
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| 8 |
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| 9 | Procedure: Nonlinear Least Squares Regression
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| 10 |
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| 11 | Description: These data and model are described in Daniel and Wood
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| 12 | (1980), and originally published in E.S.Keeping,
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| 13 | "Introduction to Statistical Inference," Van Nostrand
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| 14 | Company, Princeton, NJ, 1962, p. 354. The response
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| 15 | variable is energy radieted from a carbon filament
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| 16 | lamp per cm**2 per second, and the predictor variable
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| 17 | is the absolute temperature of the filament in 1000
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| 18 | degrees Kelvin.
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| 19 |
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| 20 | Reference: Daniel, C. and F. S. Wood (1980).
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| 21 | Fitting Equations to Data, Second Edition.
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| 22 | New York, NY: John Wiley and Sons, pp. 428-431.
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| 23 |
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| 24 |
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| 25 | Data: 1 Response Variable (y = energy)
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| 26 | 1 Predictor Variable (x = temperature)
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| 27 | 6 Observations
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| 28 | Lower Level of Difficulty
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| 29 | Observed Data
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| 30 |
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| 31 | Model: Miscellaneous Class
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| 32 | 2 Parameters (b1 and b2)
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| 33 |
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| 34 | y = b1*x**b2 + e
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| 35 |
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| 36 |
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| 37 |
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| 38 | Starting values Certified Values
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| 39 |
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| 40 | Start 1 Start 2 Parameter Standard Deviation
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| 41 | b1 = 1 0.7 7.6886226176E-01 1.8281973860E-02
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| 42 | b2 = 5 4 3.8604055871E+00 5.1726610913E-02
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| 43 |
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| 44 | Residual Sum of Squares: 4.3173084083E-03
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| 45 | Residual Standard Deviation: 3.2853114039E-02
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| 46 | Degrees of Freedom: 4
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| 47 | Number of Observations: 6
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 | Data: y x
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| 61 | 2.138E0 1.309E0
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| 62 | 3.421E0 1.471E0
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| 63 | 3.597E0 1.490E0
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| 64 | 4.340E0 1.565E0
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| 65 | 4.882E0 1.611E0
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| 66 | 5.660E0 1.680E0
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