9.
, 9.
, 10.1.
10.1
Var1 X;
Var2 Y.
Nonlinear estimation ( ).
1. Statistica Nonlinear estimation ( ). Nonlinear estimation ( 10.2).
10.2 Nonlinear estimation
2. . User specified regression, least squares ( )
( 10.3).
10.3 Nonlinear estimation
3. Function of estimated ( ) ( 10.4).
10.4
4. .
MS Excel Statistica 6 ,
.
, :
10.1:
( 10.5)
, .
OK. OK.
10.5
, ,
. . : GaussNewton ( 10.6). OK.
5.
( 10.7) , 0,99 0,98. .
10.6
10.7
6. Summary Parameters & standard errors ( ). ( 10.8) , :
Estimate () :
a, b, c. , t 22 , 0,05, .
10.8
6. Fitted 2D function & observed vals ( ). 10.9 :
10.9
|
|
|
7. ( 10.7) Quick Analysis of Variance ( ).
10.10, (F = 8806,2 < 0,00..).
10.10
8. 10.7
Residuals ().
Observed, predicted, residual vals (, , ). 10.11.
10.11
9.
Observed vs. Predicted ( )( 10.12).
, 
. k = 1 1.
10.12
, 9, , , F = 8806,2 ( 10.10) ta = 7,8, tb = 17,9 tc =14,1 ( 10.8), < 0,00..
1 MS Excel ( 1).
2 , .
.
11
( MS Excel)
: MS Excel.
