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  • Added: October, 21st 2010
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In[273]:=
generiramo naključne podatke
Tsr
20;
Tamp
5;
cas
Table x,
x, 0, 2 Pi, 2 Pi
20
;
T
N Tsr
Tamp
Sin cas
;
Trand
Table x,
x, 0, 10, 10
20
;
For i
1, i
21, i
,
Trand
i
Tsr
Tamp
Sin cas
i
Random
0.5
Tamp
1
N cas
N Trand
Out[279]=
0., 0.314159, 0.628319, 0.942478, 1.25664, 1.5708, 1.88496, 2.19911, 2.51327, 2.82743,
3.14159, 3.45575, 3.76991, 4.08407, 4.39823, 4.71239, 5.02655, 5.34071, 5.65487, 5.96903, 6.28319
Out[280]=
20.5219, 22.9812, 22.762, 23.9197, 25.55, 25.2612, 22.8588, 25.4041, 23.3315, 22.1611,
20.0458, 16.4738, 18.4359, 14.2786, 17.3221, 16.0463, 17.722, 14.4968, 15.3096, 16.7971, 21.9946

In[281]:=
izračunam nelinearno regresijo
nonlin
NonlinearModelFit Thread
cas, Trand
, a
b
Sin
t
fi
,
a, b, fi ,
t
nonlin "RSquared"
nonlin "Function"
nonlin "BestFit"
Show
ListLinePlot Thread
cas, Trand
, Plot nonlin "BestFit" ,
t, 0, 2
Pi , PlotStyle
Red
Out[281]= FittedModel
20.1723 4.9479 Sin 3.15274 t
Out[282]= 0.995421
Out[283]= 20.1723
4.9479 Sin 3.15274
1
&
Out[284]= 20.1723
4.9479 Sin 3.15274
t
24
22
Out[285]= 20
18
1
2
3
4
5
6
In[286]:=
izračuna vrednosti T po nelinearnem modelu pri začetnih časih
Tmodel
nonlin "Function"
cas
Out[286]=
20.2275, 21.7537, 23.1251, 24.2074, 24.8948, 25.1199, 24.8607, 24.1426, 23.0358, 21.6488,
20.1172, 18.591, 17.2196, 16.1372, 15.4498, 15.2247, 15.4839, 16.2021, 17.3088, 18.6959, 20.2275

In[292]:=
izračuna lnearno regresijo med Tmodel in Trand
lin
LinearModelFit Thread
Tmodel, Trand
, t, t
lin "RSquared"
Show
ListPlot Thread
Tmodel, Trand
, Plot lin "BestFit" ,
t, 15, 25 , PlotStyle
Red
Out[292]= FittedModel
1.30322 10 11 1. t
Out[293]= 0.858205
24
22
20
Out[294]=
18
16
18
20
22
24

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