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