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NIST Bennett5 Dataset
1: /*
2: * Statistical Reference Datasets (Nonlinear Regression)
3: * Statistical Engineering Division
4: * National Institute of Standards and Technology
5: * http://www.nist.gov/itl/div898/strd/
6: *
7: * Dataset Name: Bennett5 (Bennett5.dat)
8: *
9: * Procedure: Nonlinear Least Squares Regression
10: *
11: * Description: These data are the result of a NIST study involving
12: * superconductivity magnetization modeling. The
13: * response variable is magnetism, and the predictor
14: * variable is the log of time in minutes.
15: *
16: * Reference: Bennett, L., L. Swartzendruber, and H. Brown,
17: * NIST (1994).
18: * Superconductivity Magnetization Modeling.
19: *
20: * Data: 1 Response Variable (y = magnetism)
21: * 1 Predictor Variable (x = log[time])
22: * 154 Observations
23: * Higher Level of Difficulty
24: * Observed Data
25: *
26: * Model: Miscellaneous Class
27: * 3 Parameters (b1 to b3)
28: *
29: * y = b1 * (b2+x)**(-1/b3) + e
30: *
31: * Starting values Certified Values
32: *
33: * Start 1 Start 2 Parameter Standard Deviation
34: * b1 = -2000 -1500 -2.5235058043E+03 2.9715175411E+02
35: * b2 = 50 45 4.6736564644E+01 1.2448871856E+00
36: * b3 = 0.8 0.85 9.3218483193E-01 2.0272299378E-02
37: *
38: * Residual Sum of Squares: 5.2404744073E-04
39: * Residual Standard Deviation: 1.8629312528E-03
40: * Degrees of Freedom: 151
41: * Number of Observations: 154
42: */
43: Title "Bennett5";
44: Iterations 800;
45: Variables y,x;
46: Parameter b1 = -2000;
47: Parameter b2 = 50;
48: Parameter b3 = 0.8;
49: Function y = b1 * (b2+x)**(-1/b3);
50: Plot;
51: Data;
Beginning computation...
Stopped due to: Relative function convergence.
---- Final Results ----
NLREG version 4.0
Copyright (c) 1992-1997 Phillip H. Sherrod. All rights reserved.
This is a registered copy of NLREG that may not be redistributed.
Bennett5
Number of observations = 154
Maximum allowed number of iterations = 800
Convergence tolerance factor = 1.000000E-010
Stopped due to: Relative function convergence.
Number of iterations performed = 469
Final sum of squared deviations = 5.2404744E-004
Final sum of deviations = -2.3167221E-007
Standard error of estimate = 0.00186293
Average deviation = 0.00128192
Maximum deviation for any observation = 0.0120151
Proportion of variance explained (R^2) = 1.0000 (100.00%)
Adjusted coefficient of multiple determination (Ra^2) = 1.0000 (100.00%)
Durbin-Watson test for autocorrelation = 1.414
---- Descriptive Statistics for Variables ----
Variable Minimum value Maximum value Mean value Standard dev.
---------- -------------- -------------- -------------- --------------
y -34.8347 -31.7868 -32.36551 0.5678646
x 7.447168 12.27224 11.30475 0.9243164
---- Calculated Parameter Values ----
Parameter Initial guess Final estimate Standard error t Prob(t)
---------- ------------- ---------------- -------------- --------- -------
b1 -2000 -2523.5046 297.1524 -8.49 0.00001
b2 50 46.7365596 1.244891 37.54 0.00001
b3 0.8 0.932184914 0.02027236 45.98 0.00001
---- Analysis of Variance ----
Source DF Sum of Squares Mean Square F value Prob(F)
---------- ---- -------------- -------------- --------- -------
Regression 2 49.33742 24.66871 7.1E+006 0.00001
Error 151 0.0005240474 3.470513E-006
Total 153 49.33794
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