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Sameer Agarwalea117042012-08-29 18:18:48 -07001NIST/ITL StRD
2Dataset Name: Lanczos3 (Lanczos3.dat)
3
4File Format: ASCII
5 Starting Values (lines 41 to 46)
6 Certified Values (lines 41 to 51)
7 Data (lines 61 to 84)
8
9Procedure: Nonlinear Least Squares Regression
10
11Description: These data are taken from an example discussed in
12 Lanczos (1956). The data were generated to 5-digits
13 of accuracy using
14 f(x) = 0.0951*exp(-x) + 0.8607*exp(-3*x)
15 + 1.5576*exp(-5*x).
16
17
18Reference: Lanczos, C. (1956).
19 Applied Analysis.
20 Englewood Cliffs, NJ: Prentice Hall, pp. 272-280.
21
22
23
24
25Data: 1 Response (y)
26 1 Predictor (x)
27 24 Observations
28 Lower Level of Difficulty
29 Generated Data
30
31Model: Exponential Class
32 6 Parameters (b1 to b6)
33
34 y = b1*exp(-b2*x) + b3*exp(-b4*x) + b5*exp(-b6*x) + e
35
36
37
38 Starting values Certified Values
39
40 Start 1 Start 2 Parameter Standard Deviation
41 b1 = 1.2 0.5 8.6816414977E-02 1.7197908859E-02
42 b2 = 0.3 0.7 9.5498101505E-01 9.7041624475E-02
43 b3 = 5.6 3.6 8.4400777463E-01 4.1488663282E-02
44 b4 = 5.5 4.2 2.9515951832E+00 1.0766312506E-01
45 b5 = 6.5 4 1.5825685901E+00 5.8371576281E-02
46 b6 = 7.6 6.3 4.9863565084E+00 3.4436403035E-02
47
48Residual Sum of Squares: 1.6117193594E-08
49Residual Standard Deviation: 2.9923229172E-05
50Degrees of Freedom: 18
51Number of Observations: 24
52
53
54
55
56
57
58
59
60Data: y x
61 2.5134E+00 0.00000E+00
62 2.0443E+00 5.00000E-02
63 1.6684E+00 1.00000E-01
64 1.3664E+00 1.50000E-01
65 1.1232E+00 2.00000E-01
66 0.9269E+00 2.50000E-01
67 0.7679E+00 3.00000E-01
68 0.6389E+00 3.50000E-01
69 0.5338E+00 4.00000E-01
70 0.4479E+00 4.50000E-01
71 0.3776E+00 5.00000E-01
72 0.3197E+00 5.50000E-01
73 0.2720E+00 6.00000E-01
74 0.2325E+00 6.50000E-01
75 0.1997E+00 7.00000E-01
76 0.1723E+00 7.50000E-01
77 0.1493E+00 8.00000E-01
78 0.1301E+00 8.50000E-01
79 0.1138E+00 9.00000E-01
80 0.1000E+00 9.50000E-01
81 0.0883E+00 1.00000E+00
82 0.0783E+00 1.05000E+00
83 0.0698E+00 1.10000E+00
84 0.0624E+00 1.15000E+00