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NIST - ENSO 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: ENSO (ENSO.dat)
8: *
9: * Description: The data are monthly averaged atmospheric pressure
10: * differences between Easter Island and Darwin,
11: * Australia. This difference drives the trade winds in
12: * the southern hemisphere. Fourier analysis of the data
13: * reveals 3 significant cycles. The annual cycle is the
14: * strongest, but cycles with periods of approximately 44
15: * and 26 months are also present. These cycles
16: * correspond to the El Nino and the Southern Oscillation.
17: * Arguments to the SIN and COS functions are in radians.
18: *
19: * Reference: Kahaner, D., C. Moler, and S. Nash, (1989).
20: * Numerical Methods and Software.
21: * Englewood Cliffs, NJ: Prentice Hall, pp. 441-445.
22: *
23: * Data: 1 Response (y = atmospheric pressure)
24: * 1 Predictor (x = time)
25: * 168 Observations
26: * Average Level of Difficulty
27: * Observed Data
28: *
29: * Model: Miscellaneous Class
30: * 9 Parameters (b1 to b9)
31: *
32: * y = b1 + b2*cos( 2*pi*x/12 ) + b3*sin( 2*pi*x/12 )
33: * + b5*cos( 2*pi*x/b4 ) + b6*sin( 2*pi*x/b4 )
34: * + b8*cos( 2*pi*x/b7 ) + b9*sin( 2*pi*x/b7 ) + e
35: *
36: * Starting values Certified Values
37: *
38: * Start 1 Start 2 Parameter Standard Deviation
39: * b1 = 11.0 10.0 1.0510749193E+01 1.7488832467E-01
40: * b2 = 3.0 3.0 3.0762128085E+00 2.4310052139E-01
41: * b3 = 0.5 0.5 5.3280138227E-01 2.4354686618E-01
42: * b4 = 40.0 44.0 4.4311088700E+01 9.4408025976E-01
43: * b5 = -0.7 -1.5 -1.6231428586E+00 2.8078369611E-01
44: * b6 = -1.3 0.5 5.2554493756E-01 4.8073701119E-01
45: * b7 = 25.0 26.0 2.6887614440E+01 4.1612939130E-01
46: * b8 = -0.3 -0.1 2.1232288488E-01 5.1460022911E-01
47: * b9 = 1.4 1.5 1.4966870418E+00 2.5434468893E-01
48: *
49: * Residual Sum of Squares: 7.8853978668E+02
50: * Residual Standard Deviation: 2.2269642403E+00
51: * Degrees of Freedom: 159
52: * Number of Observations: 168
53: */
54: Title "ENSO";
55: Variables y,x;
56: Parameter b1 = 11.0;
57: Parameter b2 = 3.0;
58: Parameter b3 = 0.5;
59: Parameter b4 = 40.0;
60: Parameter b5 = -0.7;
61: Parameter b6 = -1.3;
62: Parameter b7 = 25.0;
63: Parameter b8 = -0.3;
64: Parameter b9 = 1.4;
65: Function y = b1 + b2*cos( 2*pi*x/12 ) + b3*sin( 2*pi*x/12 )
66: + b5*cos( 2*pi*x/b4 ) + b6*sin( 2*pi*x/b4 )
67: + b8*cos( 2*pi*x/b7 ) + b9*sin( 2*pi*x/b7 );
68: Angletype radians;
69: plot;
70: 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.
ENSO
Number of observations = 168
Maximum allowed number of iterations = 500
Convergence tolerance factor = 1.000000E-010
Stopped due to: Relative function convergence.
Number of iterations performed = 13
Final sum of squared deviations = 7.8853979E+002
Final sum of deviations = 1.0502255E-006
Standard error of estimate = 2.22696
Average deviation = 1.72826
Maximum deviation for any observation = 5.70664
Proportion of variance explained (R^2) = 0.5983 (59.83%)
Adjusted coefficient of multiple determination (Ra^2) = 0.5781 (57.81%)
Durbin-Watson test for autocorrelation = 1.642
---- Descriptive Statistics for Variables ----
Variable Minimum value Maximum value Mean value Standard dev.
---------- -------------- -------------- -------------- --------------
y 0.3 17.6 10.64167 3.428507
x 1 168 84.5 48.64155
---- Calculated Parameter Values ----
Parameter Initial guess Final estimate Standard error t Prob(t)
---------- ------------- ---------------- -------------- --------- -------
b1 11 10.5107497 0.1748883 60.10 0.00001
b2 3 3.07621274 0.2431005 12.65 0.00001
b3 0.5 0.532801467 0.2435469 2.19 0.03015
b4 40 44.3110746 0.9440801 46.94 0.00001
b5 -0.7 -1.62314546 0.2807827 -5.78 0.00001
b6 -1.3 0.525536331 0.4807378 1.09 0.27597
b7 25 26.8876135 0.4161293 64.61 0.00001
b8 -0.3 0.212320664 0.5146003 0.41 0.68046
b9 1.4 1.49668749 0.2543444 5.88 0.00001
---- Analysis of Variance ----
Source DF Sum of Squares Mean Square F value Prob(F)
---------- ---- -------------- -------------- --------- -------
Regression 8 1174.489 146.8111 29.60 0.00001
Error 159 788.5398 4.95937
Total 167 1963.028
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