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NIST - Chwirut1 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: Chwirut1 (Chwirut1.dat)
8: *
9: * Procedure: Nonlinear Least Squares Regression
10: *
11: * Description: These data are the result of a NIST study involving
12: * ultrasonic calibration. The response variable is
13: * ultrasonic response, and the predictor variable is
14: * metal distance.
15: *
16: * Reference: Chwirut, D., NIST (197?).
17: * Ultrasonic Reference Block Study.
18: *
19: * Data: 1 Response Variable (y = ultrasonic response)
20: * 1 Predictor Variable (x = metal distance)
21: * 214 Observations
22: * Lower Level of Difficulty
23: * Observed Data
24: *
25: * Model: Exponential Class
26: * 3 Parameters (b1 to b3)
27: *
28: * y = exp[-b1*x]/(b2+b3*x) + e
29: *
30: *
31: * Starting values Certified Values
32: *
33: * Start 1 Start 2 Parameter Standard Deviation
34: * b1 = 0.1 0.15 1.9027818370E-01 2.1938557035E-02
35: * b2 = 0.01 0.008 6.1314004477E-03 3.4500025051E-04
36: * b3 = 0.02 0.010 1.0530908399E-02 7.9281847748E-04
37: *
38: * Residual Sum of Squares: 2.3844771393E+03
39: * Residual Standard Deviation: 3.3616721320E+00
40: * Degrees of Freedom: 211
41: * Number of Observations: 214
42: */
43: Title "Chwirut1";
44: Variables y,x;
45: Parameter b1 = 0.1;
46: Parameter b2 = 0.01;
47: Parameter b3 = 0.02;
48: Function y = exp(-b1*x)/(b2+b3*x);
49: plot;
50: 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.
Chwirut1
Number of observations = 214
Maximum allowed number of iterations = 500
Convergence tolerance factor = 1.000000E-010
Stopped due to: Relative function convergence.
Number of iterations performed = 6
Final sum of squared deviations = 2.3844771E+003
Final sum of deviations = 1.4172314E+001
Standard error of estimate = 3.36167
Average deviation = 2.25529
Maximum deviation for any observation = 13.1195
Proportion of variance explained (R^2) = 0.9800 (98.00%)
Adjusted coefficient of multiple determination (Ra^2) = 0.9798 (97.98%)
Durbin-Watson test for autocorrelation = 0.983
---- Descriptive Statistics for Variables ----
Variable Minimum value Maximum value Mean value Standard dev.
---------- -------------- -------------- -------------- --------------
y 3.75 92.9 30.2615 23.67979
x 0.5 6 2.544393 1.645679
---- Calculated Parameter Values ----
Parameter Initial guess Final estimate Standard error t Prob(t)
---------- ------------- ---------------- -------------- --------- -------
b1 0.1 0.190278145 0.02193855 8.67 0.00001
b2 0.01 0.00613139918 0.0003450003 17.77 0.00001
b3 0.02 0.0105309107 0.0007928185 13.28 0.00001
---- Analysis of Variance ----
Source DF Sum of Squares Mean Square F value Prob(F)
---------- ---- -------------- -------------- --------- -------
Regression 2 117051.6 58525.78 5178.89 0.00001
Error 211 2384.477 11.30084
Total 213 119436
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