Rev 3297 Rev 3307
1   1  
2   2  
3 ******************************************************************************* 3 *******************************************************************************
4 Tue Sep 17 09:07:41 2013 4 Tue Sep 17 09:07:41 2013
5   5  
6   6  
7 FIT: data read from "mereni_rozsahu.txt" using 1:2 7 FIT: data read from "mereni_rozsahu.txt" using 1:2
8 format = x:z 8 format = x:z
9 #datapoints = 5 9 #datapoints = 5
10 residuals are weighted equally (unit weight) 10 residuals are weighted equally (unit weight)
11   11  
12 function used for fitting: f(x) 12 function used for fitting: f(x)
13 fitted parameters initialized with current variable values 13 fitted parameters initialized with current variable values
14   14  
15   15  
16   16  
17 Iteration 0 17 Iteration 0
18 WSSR : 17494 delta(WSSR)/WSSR : 0 18 WSSR : 17494 delta(WSSR)/WSSR : 0
19 delta(WSSR) : 0 limit for stopping : 1e-05 19 delta(WSSR) : 0 limit for stopping : 1e-05
20 lambda : 338.148 20 lambda : 338.148
21   21  
22 initial set of free parameter values 22 initial set of free parameter values
23   23  
24 k = 1 24 k = 1
25 q = 1 25 q = 1
26   26  
27 After 7 iterations the fit converged. 27 After 7 iterations the fit converged.
28 final sum of squares of residuals : 5.26925 28 final sum of squares of residuals : 5.26925
29 rel. change during last iteration : -2.47107e-13 29 rel. change during last iteration : -2.47107e-13
30   30  
31 degrees of freedom (FIT_NDF) : 3 31 degrees of freedom (FIT_NDF) : 3
32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.3253 32 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.3253
33 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75642 33 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75642
34   34  
35 Final set of parameters Asymptotic Standard Error 35 Final set of parameters Asymptotic Standard Error
36 ======================= ========================== 36 ======================= ==========================
37   37  
38 k = 0.830736 +/- 0.006088 (0.7329%) 38 k = 0.830736 +/- 0.006088 (0.7329%)
39 q = 23.4494 +/- 2.912 (12.42%) 39 q = 23.4494 +/- 2.912 (12.42%)
40   40  
41   41  
42 correlation matrix of the fit parameters: 42 correlation matrix of the fit parameters:
43   43  
44 k q 44 k q
45 k 1.000 45 k 1.000
46 q -0.979 1.000 46 q -0.979 1.000
47   47  
48   48  
49 ******************************************************************************* 49 *******************************************************************************
50 Tue Sep 17 09:08:22 2013 50 Tue Sep 17 09:08:22 2013
51   51  
52   52  
53 FIT: data read from "mereni_rozsahu.txt" using 1:2 53 FIT: data read from "mereni_rozsahu.txt" using 1:2
54 format = x:z 54 format = x:z
55 #datapoints = 5 55 #datapoints = 5
56 residuals are weighted equally (unit weight) 56 residuals are weighted equally (unit weight)
57   57  
58 function used for fitting: f(x) 58 function used for fitting: f(x)
59 fitted parameters initialized with current variable values 59 fitted parameters initialized with current variable values
60   60  
61   61  
62   62  
63 Iteration 0 63 Iteration 0
64 WSSR : 5.26925 delta(WSSR)/WSSR : 0 64 WSSR : 5.26925 delta(WSSR)/WSSR : 0
65 delta(WSSR) : 0 limit for stopping : 1e-05 65 delta(WSSR) : 0 limit for stopping : 1e-05
66 lambda : 338.148 66 lambda : 338.148
67   67  
68 initial set of free parameter values 68 initial set of free parameter values
69   69  
70 k = 0.830736 70 k = 0.830736
71 q = 23.4494 71 q = 23.4494
72   72  
73 After 1 iterations the fit converged. 73 After 1 iterations the fit converged.
74 final sum of squares of residuals : 5.26925 74 final sum of squares of residuals : 5.26925
75 rel. change during last iteration : 0 75 rel. change during last iteration : 0
76   76  
77 degrees of freedom (FIT_NDF) : 3 77 degrees of freedom (FIT_NDF) : 3
78 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.3253 78 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 1.3253
79 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75642 79 variance of residuals (reduced chisquare) = WSSR/ndf : 1.75642
80   80  
81 Final set of parameters Asymptotic Standard Error 81 Final set of parameters Asymptotic Standard Error
82 ======================= ========================== 82 ======================= ==========================
83   83  
84 k = 0.830736 +/- 0.006088 (0.7329%) 84 k = 0.830736 +/- 0.006088 (0.7329%)
85 q = 23.4494 +/- 2.912 (12.42%) 85 q = 23.4494 +/- 2.912 (12.42%)
86   86  
87   87  
88 correlation matrix of the fit parameters: 88 correlation matrix of the fit parameters:
89   89  
90 k q 90 k q
91 k 1.000 91 k 1.000
92 q -0.979 1.000 92 q -0.979 1.000
-   93  
-   94  
-   95 *******************************************************************************
-   96 Sat Sep 28 13:10:43 2013
-   97  
-   98  
-   99 FIT: data read from "prevod.txt" using 1:2
-   100 format = x:z
-   101 #datapoints = 54
-   102 residuals are weighted equally (unit weight)
-   103  
-   104 function used for fitting: f(x)
-   105 fitted parameters initialized with current variable values
-   106  
-   107  
-   108  
-   109 Iteration 0
-   110 WSSR : 2.22513e+06 delta(WSSR)/WSSR : 0
-   111 delta(WSSR) : 0 limit for stopping : 1e-05
-   112 lambda : 331.595
-   113  
-   114 initial set of free parameter values
-   115  
-   116 k = 1
-   117 q = 1
-   118  
-   119 After 6 iterations the fit converged.
-   120 final sum of squares of residuals : 28507.5
-   121 rel. change during last iteration : -2.96705e-13
-   122  
-   123 degrees of freedom (FIT_NDF) : 52
-   124 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 23.4141
-   125 variance of residuals (reduced chisquare) = WSSR/ndf : 548.221
-   126  
-   127 Final set of parameters Asymptotic Standard Error
-   128 ======================= ==========================
-   129  
-   130 k = 0.318574 +/- 0.01093 (3.429%)
-   131 q = 216.846 +/- 5.123 (2.363%)
-   132  
-   133  
-   134 correlation matrix of the fit parameters:
-   135  
-   136 k q
-   137 k 1.000
-   138 q -0.783 1.000
-   139  
-   140  
-   141 *******************************************************************************
-   142 Sat Sep 28 13:12:08 2013
-   143  
-   144  
-   145 FIT: data read from "prevod.txt" using 1:2
-   146 format = x:z
-   147 #datapoints = 54
-   148 residuals are weighted equally (unit weight)
-   149  
-   150 function used for fitting: f(x)
-   151 fitted parameters initialized with current variable values
-   152  
-   153  
-   154  
-   155 Iteration 0
-   156 WSSR : 2.19293e+06 delta(WSSR)/WSSR : 0
-   157 delta(WSSR) : 0 limit for stopping : 1e-05
-   158 lambda : 331.595
-   159  
-   160 initial set of free parameter values
-   161  
-   162 k = 1
-   163 q = 1
-   164  
-   165 After 6 iterations the fit converged.
-   166 final sum of squares of residuals : 28.4829
-   167 rel. change during last iteration : -3.15335e-10
-   168  
-   169 degrees of freedom (FIT_NDF) : 52
-   170 rms of residuals (FIT_STDFIT) = sqrt(WSSR/ndf) : 0.7401
-   171 variance of residuals (reduced chisquare) = WSSR/ndf : 0.547748
-   172  
-   173 Final set of parameters Asymptotic Standard Error
-   174 ======================= ==========================
-   175  
-   176 k = 0.316142 +/- 0.0003453 (0.1092%)
-   177 q = 223.294 +/- 0.1619 (0.07252%)
-   178  
-   179  
-   180 correlation matrix of the fit parameters:
-   181  
-   182 k q
-   183 k 1.000
-   184 q -0.783 1.000