ited as spac 
is reduced to 
(42) 
tic nature of 
uncorrelated 
of weighs is 
uncorrelated 
(44 
(45) 
nimization 0f 
(46) 
(4.7 
Natalia Moskal 
: T . 
According to square functions of loses T] - M = MIN and after transformations. analogic to shown above [6], we 
^ I oh : 
get adjusted value of the unknown U = (ef . > : S) 1 ST : x 1. >. R or 
—] 
A D A. T 
—] : | 7 7) 
vA rlll5 r 
y (4.8) 
s Is] [| anm 
7 D rr 
>. Y 
Y lv 
y | 
  
and 
1 
p s]: A S ATTE AX De XA t 
mia T zi T -1 T -l T. zi 
Zl LA ATP SPI Der S TT 
T -|1 T -] Xr 
AS p y Y 
PS Tu FES PR 
In the reduced form it looks as follows: 
ey pen e^ 
The valuation of probability maximum for dispersion O ? Is equal to 
SS (RS) NN = SOY 7). (4.10) 
Where n - the number of equations, included into system (4.2), 
r-the number of the unknowns in the system (4.2). 
2+d 2 
In mixed function of loses gl gu — miun.On the ground of [4] we get 
e e 
04 9T +4 P b 
Qs Q,, b, +A, 
where A, = yt . Y Y : Xy À), A = F" ux Y - > (y * A), 
i SSB 
<a DC} 
i » Where j21,2,3......,p — the number of series members (usually p <4). 
i= J! 
G z4K y, Klo ex (4.12) 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000. 633