Upload
andrey
View
259
Download
10
Embed Size (px)
DESCRIPTION
В пособии рассмотрены основные понятия теории вероятностей иматематической статистики применительно к курсу теория и практикатехнического и технологического эксперимента.Пособие адресовано студентам высших учебных заведенийобучающихся в соответствии с требованиями ОС ВПО по направлениюподготовки 211000 «Конструирование и технология электронныхсредств», специализации магистра 211000.68 – «Технология иинструментальные средства проектирования электронных систем»
Citation preview
-
,
..
-
2010
519.2: 519.6 ..
/ . : , 2010.102 .
.
211000 , 211000.68
2007-2008 , , . 2015 , .
, 2010 .., 2010
2
1. .....................................................................................................4 1.1. ...................................................................................4 1.2. ......................................................................5 1.3. STATISTICA .....................................................7 2. ..............................................................................9 2.1. ..............................................................................................9 2.2. .............................................................................11 2.3. .....................................11 2.4. ............................................................................14 2.5. , .................16 2.6. .........................................................................18 3. ............................................................20 3.1. , ..........................................................................20 3.2. ........................................................................................................22 4. , , ........................................................................................22 4.1. . . .......................................................................................22 4.2. ...........................23 4.3. .........24 4.4. ......24 4.5. ...................................................26 4.6. STATISTICA .....27 5. ...................................................30 5.1. ...................................................................30 5.2. , ....................................................35 5.3. , ............................................................................................................37 5.4. STATISTICA............................................................38 6. ..........................................40 6.1. ........................40 6.2. .....................44 6.3. STATISTICA................................................46 7. ....................................................................50 7.1. .....................................................................................50 7.2. .....................................................................54
3
7.3. ........................................................................55 7.4. STATISTICA........................................59 8. ............................................................................61 8.1. , ...................................................61 8.2. STATSTICA...............................................65 9. ...............................................................67 9.1. , .......................................................67 9.2. STATISTICA...................................69 10. ..................................................................................74 10.1. ..............................................74 10.2. .............................82 11. ...........................................................................84 11.1. .................................................84 11.2. .....................................94 12. .......................................................98 12.1. ............................................................................98 12.2. ..............................................................................98 13. .......99
4
1.
. : . . [3] . . [2].
1.1.
, .
( . experimentum , ), , . , , . , ( ). , , [4].
, . , - . , , . , , , . , , . . . , , , . .
5
, .
(. measurement) , . , , , , .
. ; , , , . , , . , . ; .
, (experimental design techniques) - , .
, , () .
, , .. .
1.2. ,
, . , ; , , , [1]. , .
6
- . , . ; . , .
, .
(. [1]). ,
. , 210 . . , , , (205 ), (215 ).
, , 211,3 . , , , , , , , 211,3000 , , , 211,3001 .
, . . , . , , . , .
, . , , . , , . . , , , , . , , , , .
, ,
7
. , , . ( 0,5106 ). , .
, , . , . , , . , , , . ( ). .
. (, , . .) . , .
. . , 3 , ( ) , , 2,5 3,5 2,99 3,01 . , .
. , , , .
1.3. STATISTICA STATISTICA
, StatSoft [7]. STATISTICA (. 1.3.1) (data analysis), (data management), (data mining), (data visualization).
8
STATISTICA . :
Base , , ;
Advanced Linear/Non-Linear Models , , , , . ;
Multivariate Exploratory Techniques , STATISTICA , , ;
QC (quality control) , , , ;
Neural Networks , , , ;
Data Miner , . STATISTICA
OS Windows. STATISTICA STATISTICA.
9
1.3.1. STATISTICA.
2.
2.1. ,
. ( ). .
. ) , :
, . )
, , 180 , . : () , , , .
10
() , ( ) . .
, [2].
, , , D, . . . , W ; : , . .
, ( ) , , .
, - , , .
, : , , , , . . , , , ( , , . .) -.
, , , , . , (, , , . .).
, , , .
, . , , , ... , W , , A B C ... W = U.
, .
.
11
) . () .
) . : .
, . .
, , , .
2.2. ,
. ,
. , A , A A.
2.3. ()
.
Q , , N . :
NMQ (2.3.1)
. 100 , 45. , = 45, N = 400, Q = 0,40.
, , . .:
10 Q (2.3.2) ,
, . , . .
12
, , . , , .
, . , 12 000 24 000 , 0,5016 0,5005. , , , , , 0,5.
, N Q , , , . N Q , , , . , .
)(Ap . .
, - , . ( ). , , ( ), :
nmnmp , , (2.3.3)
: m , ; n ; p .
, .
. : , ,
13
. ( ).
. :
1pNMp
N
, (2.3.4)
. (2.3.4)
, (2.3.3). , . , , . , , .
(2.3.3) , , , , .
, , . 1 0 , .
, , , , , .
. 1001 1000 , , 0,001, , . 0,001 , .
, , , , , , .
, .
, . .
14
0)( Vp , (2.3.5) V .
, . . 0)( Up , (2.3.6)
U . ,
, , . .
mmp
nmp
010
. (2.3.7)
, ,
10 p . (2.3.8) ,
.
, . .
1)()( ApAp , (2.3.9) , . :
nmnAp
nmAp
)(
)(. (2.3.10)
2.4.
, . nAAA ...,, 21 .
, , :
)...,,( 21 nAAAB . (2.4.1) (2.4.1)
:
15
n
ii
n
AB
AAAB
1
21 ...
. (2.4.2)
.
, . .
n
ii
n
ii
nn
ApAp
ApApApAAApBp
11
2121 )(...)()()...()(. (2.4.3)
, (.. ).
. a , b , c , d e . , , , (. . , ).
: , ; A1 , ; A2 , ; A3 , ; A4 , ; A5 , . : 321 AAAB . , (2.3.3)
, :
nc
nb
na
edcbacba
nmBp
)(
16
nbAp
nbAp
naAp
)(
)(
)(
3
2
1
,
: )()()()( 321 ApApApBp
. ,
(2.4.3) .
2.5. , ,
, . .
, , .
, .
, ( ) .
.
. )
. ) . ) . ,
, .
. ,
, .
17
, , .
, , , .
: )/( BAp A,
, ; ),...,/( 21 nBBBAp ,
, nBBB ,..., 21 . , :
)()/()()/(
BpABpApBAp . (2.5.1)
( ). , :
)()/()()/(
BpABpApBAp . (2.5.1)
, , .
, , - , . , , " -". , , . , , "" , , .. . , , "" . , . , , "
18
", . , (WCC), , , WCC .
2.6.
.
, . . .
, , D . A : DCBA .
, B , nAAA ...,, 21 , :
)...(
)...,,(
21
21
n
n
AAAB
AAAB. (2.6.1)
. , . .
n
ii
nn
n
Ap
AAAApAAApAApApAAApBp
1
121213121
21
).../(...)/()/()()...()(
(2.6.2)
(2.6.2) :
)/()()/()()( BApBpABpApABp . (2.6.3) , , ,
, :
.
, (2.6.2):
19
1
1
2133
122
/)(
...)/()(
)/()(
n
iinn AApAp
AAApApAApAp
: )(...)()()()...( 32121 nn ApApApApAAAp (2.6.3)
, , , . .
. : 1a 1b , 2a 2b .
, , .
: : 1A ; 2A ;
21 AAA .
, )()( 21 AApAp .
(2.3.3).
m n, m n ( ).
2a . , :
21 aam . , ,
: ))(( 2211 baban .
:
20
))(()(
2211
21
babaaaAp
(2.6.4)
(2.6.4):
)()(
11
11 ba
aAp
, :
)()(
22
22 ba
aAp
. (2.6.4) :
)()()( 21 ApApAp (2.6.5) . (2.6.5) ,
() n , ,
n
ii
n
ii ApAp
11)( (2.6.6)
, , , , , :
pApApAp n )(...)()( 21 :
nn
ii pAp
1)( (2.6.7)
3.
3.1. ,
, . . . , , n .
, ( ) . . A, . . A , A . , n k , . . )(kPn .
21
n , . . : , . . , n .
, A , A , 1)()()( ApApAAp .
:
AAAAAAAA . :
1)()()()()()( 2 ApApAApAApAApAAp , n :
1)()( nApAp . (3.1.1) (3.1.1)
(n + 1) .
: kknk
nn pqCkP)( , (3.1.2)
: )(kPn k n ;
)!(!!
knkkC kn
(3.1.3)
n k; p ; q .
n k , :
n
ennn
2! (3.1.4)
(3.1.4) n. ( %) n. . (3.1.3) (3.1.4), , n = 10 0,8 %, n = 20 0,4 %.
. 1, . . 1)()( ApAp , , n , nAp )( .
22
, , , :
nApAp )(1)( . (3.1.5) 3.2.
,
, , : ( ) , , . , , (3.1.1) , , k0 , p n.
npk 0 (3.2.1) k0 .
, (3.2.1) , .
(3.2.1) .
4. , ,
4.1. . .
, , . , , .
: () .
23
, (, 0, 1, 2, 3; 0, 1, 2, 3, 4, 5; ).
, , . .
, , . , . . , . , ; .
X, Y, Z , x, y, z, (, X ; 1, 2, 3, . . . , n X n ; 1, 2, 3, . . . , n x ).
4.2.
, , , . . 1, 2, 3, . . . , n, ( ) .
, , .
:
; ,
, X;
,
24
, .
4.3.
X, ),( pnB , x : 0, 1, 2, ..., n. X :
kknkn pqCkKP
][ , (4.3.1)
: nk ...,1,0 ; pq 1 ; !)!(
!kkn
nC kn n k.
STATISTICA [7], binom(x; p; n) , , X, n, p x.
, ][ xXP , :
x
k
kknkn
x
kpqCkKP
00][ (4.3.2)
, STATISTICA ibinom(x; p; n).
: e
kkKP
k
!][ , (4.3.3)
STATISTICA poisson(k; ), ipoisson(k; ).
: 1)1(][ kpkKP (4.3.4)
STATISTICA geom(k; p), igeom(k; p).
4.4. [a,b], R(a,b),
, :
],[,0
],[,1)(
bax
baxabxp (4.4.1)
25
)(xP , :
.,0
),(,
;,0
)()(
bx
baxabax
ax
dxxpxPx
(4.4.2)
, :
x
expmx2
2
2)(
21)( , (4.4.3)
P(x) :
x myx
dyedyypxP 22
2)(
21)()(
(4.4.4)
m (m) ( 2 ) X:
mdxexXMmx2
2
2)(
21][
, (4.4.5)
222)(
222 22
21])[(][][
mdxexXMXMXDmx
(4.4.6)
.
STATISTICA (4.4.3) , normal(x; m; ). x: inormal(x; m; ).
m=0, , 2=1, .
:
x
expx2
)( 2
21)( . (4.4.7)
:
x t
dtexP 2)( 2
21)(
(4.4.8)
, , :
26
0,00,)(
xxexp
x (4.4.9)
. P(x) X,
:
0,0
0,1)( 0
x
xedtexP
xxt . (4.4.10)
STATISTICA (4.4.9) , expon(x; ). x: iexpon(x; ).
, , , .
, , :
21
2
0
12
0
12
1
1)(
n
tn
tn
nx
dtetn
dtetxp
(4.4.11)
: n . STATISTICA
, student(x, n). x: istudent(x, n).
4.5.
(X,Y) p(x,y), :
22
22
21
2121
21
2
221
)())((2)()1(2
1exp
121),(
mymymxmx
yxp
(4.5.1)
m1, m2, 1, 2, (m) ( 2 ) X, Y , .
X, p(x), :
21
21
1 2)(exp
21),()(
mxdyyxpxpX (4.5.2)
27
Y, p(y), :
22
22
2 2)(exp
21),()(
mxdxyxfypY (4.5.3)
(4.5.2, 4.5.3) , p(x,y) X, Y , : M[X]=m1, D[X]=12 M[Y]=m2, D[Y]=22.
X Y :
2121
21
),())((
))((),cov(
dxdyyxpmymx
mYmXMYX. (4.5.4)
(4.5.4) , X Y.
X Y =0, (4.5.1) :
)()(),( ypxpyxp YX . (4.5.5)
.
4.6. STATISTICA STATISTICA 8.0.
, . STATISTICA , :
Spreadsheet ( .), , ;
Workbook ( .),
Spreadsheet , .
Workbook, .. . Workbook , : FileNew Workbook Insert empty spreadsheet ( ) OK.
spreadsheet (1010), . , , Excel ,
28
, : InsertAdd Cases, (How many), (Insert after cases). InsertAdd Variables
, (FileSave As) .
(4.4.3, 4.4.4), 50-.
Var1 =normal(x; m; ), , Var1, Var1 ( ) Variable Specs Long name, =normal(v0;25;10) OK. v0, ( ) 1, 2, 3 , v0-1 0, 1, 2
Long name (Var2) =inormal(v0;25;10), Var3 , Long name (Var3) =v1.
, STATISTICA . Graphs2D GraphsScatterplots, Advanced Graph typeDouble-Y : FitSpline. Variables X: Var3, Y Left: Var1 Y Right: Var2. OK. 4.6.1. , , , , , .
29
4.6.1.
.
. STATISTICA . . (0,max) =rnd(max), max . Long name (Var4) =vnormal(rnd(1);25;10), . , StatisticsBasic Statistics/Tables Descriptive statistics, Var4, Variables, Histograms, 4.6.2. STATISTICA F1.
30
4.6.2.
.
5.
5.1.
[3]. . . , , , , , . () (). , . .
, , . , , (, ); (, ); (, , ) . . , , , .
31
, . .
, , , , . , . , , . , , , , , , . , , .
. . , . . , (, , , ) 1, 2, 3, 4. , , , (, ), , , .
, , . ( ) , , . , . . [5].
. " " , , . , , " ", . , , , , . :(a) , (b) (), (c) (d)
32
( ). , : (a) , (b) (), (c) (d) .
a.) . , , ; . , , 2 (, ). - , , , .. .
b.) () , , . " " " ". . - . , , , , , 18% . : , , .
c.) , . , , , . , 40 , 30 , 20 40 30 40 .
d.) . , , , , : x , y. . , , , 200 , 100 , . (, ) . ,
33
.
. , . , , . ( : , . .) (. . ) . , . . , . , , . , , , , . , , , . , .
, - , , , . , , . , , . . , , , . , 15 % , 15 %. , , .
, , , , . , , . , , .
34
, . . , .
. . , , , : m ( ) m . ( ) ( , .).
, . . . .
, . m , , . , X mmm PX ,, , mX m, m , mP , , . )...,,( 21 mm xxxX m , X mP .
, lk XX , , k, l , .
lX X , ll Xx , kX X kk Xx . . .
, , .
.
35
5.2. ,
: , . .
. X , ...,, 21 xx ...,, 21 pp [] X :
i
ii pxXM ][ (5.2.1)
, (5.2.1) . (5.2.1) , , .
:
dxxpxXM )(][ (5.2.2)
)(xp X. . 1. [] = , . 2. [] = [] [+ ] = [] + , . 3. Z
X: Z = h(X). , Z =tg(X). Z M[Z], :
i
ii pxhZM )(][ (5.2.2)
, (5.2.2) . 4. nXXX ...,,, 21
. :
32121 ...... XMXMXMXXXM n . (5.2.3) 5. Y
. YX :
][][][ YMXMYXM . (5.2.4)
. , (5.2.4) ,
, .
36
X D[X]. :
1
22 ])[(]])[[(][i
ii pXMxXMXMXD , (5.2.5)
, (5.2.5) . ][XD
X. . 1. 0][ XD . 2. X ,
: 0][ XD . 3. ][][ 2 XDccXD , c=const. 4. ][][ XDcXD , c=const. 5. Y
: ][][][ YDXDYXD
, , X N. X:
N
iixN
x1
1 (5.2.6)
:
N
iix xxN 1
22 )(1 (5.2.7)
2x :
N
iix xxN 1
2)(1 . (5.2.8)
x :
N
iix xxN 1
2)(1
1 . (5.2.9)
, (5.2.9) , (5.2.8) ( N), X.
37
5.3. ,
nxxx ...,, 21 , :
ng xxxx ...21 (5.3.1) :
n
xx
n
ii
g
1
)lg()lg( (5.3.2)
xH : 1
1
11
n
i iH xn
x (5.3.3)
, : [/], [/] ..
, :
Hg xxx . (5.3.4) X
: , , , .
X.
, .
X (Q1, Q2, Q3) (. 5.3.1), :
213 QQRQ
. (5.3.5)
5.3.1. .
38
90- 10- : 1.09.01090 xxPP (5.3.6)
:
xV x , (5.3.7)
: %100
xC xV
. (5.3.8)
x ),( 21 , 1p :
121 xP . (5.3.9) 1 ,
. 1 , 0,90; 0,95; 0,99. X.
, , , X. :
n
iii ppxH
12log)( . (5.3.10)
:
dxxpxpxH )(log)()( 2 (5.3.11)
(5.3.9) n , .. n, , .
( , ..) .
5.4. STATISTICA .
. . , ,
39
. ( " ") : .
, 68% 1 , 2 95% . , , , -2 +2, 5% ( , ( )). STATISTICA, , , ; , z- (.. , ) 4, , STATISTICA .0001, (.. 99.99%) 4 .
StatisticsBasic Statistics/Tables Descriptive statistics Summary Statistics. ( ) (Valid N), (Mean), (Std.Dev.), (Minimum) (Maximum) . Descriptive statistics .
(Probability Calculator). (. 5.4.1.) . StatisticsProbability CalculatorDistributions , ( ), : (mean), (st.dev.), (p) (x: Xx ). (Density Function) (Distributtion Function).
40
5.4.1. .
6.
6.1.
() . , .
X . X. , X; , . , , X N(0, 1); , N(m, 1), bma , . , 1/3 (1, 5); X [3].
X . .
41
0. 0 () H1,. , 0 , 00 : H , 0 , :
;:;:;:;: 1)4(
10)3(
10)2(
10)1(
1 HHHH 10 , , . .
, 0, . X, Z, . 00 : H , .
, , , , . . , . V Z, a Vk , , 0, Vk :
0/ HVZP k . (6.1.1) Bz Z,
. : 0, kB Vz ; 0, kB VVz \ . , , . Vk Z, 0, ; V \Vk 0.
Vk. Z 1. , 00 : H , 1, 001 : H , () Z, . . :
1zZ zZ , (6.1.2)
42
1z z Z 1 , 0. , - .
01 : H , Z, . . :
2
21
zZ
zZ . (6.1.3)
.
: 1. 0H 1H ,
. 2. . 3. Z 0H . 4. Z
, 0H . 5. Vk
: 1zZ zZ , :
2
21
zZ
zZ
6. Bz .
7. : kB Vz , 0H
; , kB VVz \ 0H , . . , 0H
. 0H
, 0H . , , 0H , . , 0H , . ,
43
, 0H , . . (6.1.2).
, 0H , 1H . ( 1H ) [3]:
1/\ HVVZP k . (6.1.4)
2 . 2 ,
rknp
npn
k
kk ...,,2,1,)( ,
, N(0,1). , , 5knp . , .
nxxx ...,, 21 X. 0H , , X F(x).
0H 2 . X. , X r ,..., 21 , , r , X , , , X.
kn , k ,
rk ..,,2,1 . , nnr
kk
1.
X, kp , X k , . . rkXPp kk ...,,2,1, . ,
r
kkp
11 .
:
r
k k
kk
npnpn
1
22 )( (6.1.5)
0H , :
44
)1(212 lr , (6.1.5)
)1(21 lr 1 2 )1( lr , l , ; :
)1(212 lr , (6.1.6)
0H .
6.2. :
, , , . t- . . , , . . , . . .
, , (. . ), , .
. , , . , : , , , (, ) / ().
, , , .
( ) .
45
. n : , ( , , , . .), () n. n k , k n. , , k n k n, . , .
1. : 1n 2n . 0H : .
: 1) ; 2) ; 3) . 2. : niyx ii ...,,2,1),,(
X Y, . 0H : X Y .
: , .
3. : knnn ...,,, 21 . 0H : .
: 1) ; 2) . 4. : n.
0H : .
: 1) ; 2) . 5. : k n.
0H : .
: 1) ;
46
2) . 6. , . 1) : n
X Y, (0, 1 +, , . .).
0H : . : . 2) : n
kXXX ...,,, 21 , . 0H : . : . 7. , . 1) : X Y,
. 0H : X Y . : 22 (
, 2 ). 2) : X Y,
. X k , Y r .
0H : X Y . : rk ( 2 ).
, , [35].
6.3. STATISTICA (p-)
"" ( " "). , p- ( Brownlee, 1960) , . p- . , p- , . , p- = .05 (.. 1/20) , 5% , . , ,
47
, . (, , , 5% 95% ; , , ). p- .05 " " .
, "". , , . , (.. ) , , , . p=0.05 , , (5%). , p =0.01 , p=0.005 p=0.001 . , , .
, , ( ) . , 10 ( 45 ), , ( 20) p .05, . , , , , , . , ( ) -
48
. .
, Nisbett, et al., 1987. 2 . , 120 , 12. , , 50/50. , . , ? , , . , . , ( ) .
, "" (.. ), . , , , , . , "" ( ) , . . , . , (, 60% , 40% ), 10 , , , , , : 6 4 . , 10 -? , , , , , 10 . , , , , . 10 , , , - . , , , , . : , .
2 (6.1.5). STATISTICA
49
. StatisticsDistribution Fitting, (. 6.3.1), Normal. (), Parametrs . (Chi-Square), (df) (p). (p) .
6.3.1. .
STATTSTICA
StatisticsNonpametrics (.6.3.2).
6.3.2. .
50
Nonpametrics . -. (. 6.3.2), (. 6.3.2), (. 6.3.3), (Mann-Whitney U-test). (p-level) 0H , , .
6.3.3. .
7.
7.1. ,
. , , , ; . . , , , - . .
51
. (, ...) (, , ) , () , , . , , . , , . "" () , , , , , . , . . , , , A, B, - " A B", .. . () , .
. , , - , . , , " -". , , . , , "" , , .. . , , "" . , . ,
52
, " ", . , (WCC), , , WCC .
, () . , , , - . , . . , - . , WCC : WCC. , .
, . Y nxxx ...,, 21 , , Y. Y (), nxxx ...,, 21 , .
, , . .
, , , , - ().
m mxxx ...,, 21 , :
)...,,( 21 nxxxfY , (7.1.1)
53
: )...,,( 21 nxxxf Y, )...,,( 21 nxxxf , a . . , (7.1.1) . , , , , () . , , , . .. , .
(, STATISTICA) nxxx ...,, 21 .
: . : , , , .
, :
: xY 10 ; (7.1.2)
1122110 ... kk xxxY ; (7.1.3)
3.
11
2210 ...
kk xxxY ; (7.1.4)
4. : )...,,(...)...,,()...,,( 2111212221110 nkknn xxxxxxxxxY ; (7.1.5)
: )...,,( 21 ni xxx . 1210 ,...,, k .
(1-4) ( ) , .
, .
:
54
x
x
eey
10
10
1
(7.1.6)
yyy
1ln :
xy 10 . ,
, ( ) , .
. : (a) (b) .
.) , . , WCC , , ( WCC) . , .
b.) - , , . , . , , , , , ( , ) , . , ; , . , p- .
7.2. ,
Y x. niyx ii ,...2,1),,(
. X Y , . .
55
, .
, Y.
Y .
yx
xy
QQQ
YX ),( , (7.2.1)
:
i
i
iixy
iy
ix
yn
y
xn
x
yyxxQ
yyQ
xxQ
1
1
2
2
.
: 11 ; 1|| , X Y
; 0 , , X Y , ..
; X Y ,
0 , .
7.3. Y 121 ...,, kxxx ,
:
1122110 ...~ kki xxxy . (7.3.1)
Y 121 ...,, kxxx .
56
, . (7.3.1) (), .. y~ (7.3.1), :
0
~),...,,,(1
1210
i
n
iiik
Q
yyQ
(7.3.2)
, . , Y. :
iii yye ~ . (7.3.2) ,
.
, , , , . . . : , , , .
, Y . .
i- ni, Y, mi ...,2,1 .
i
inn . njyij ,...,2,1, , Y
j- . ,
in
jiji yn
y1
1 , iy~ ,
(7.3.1).
57
)~( iiin yynQ . (7.3.3) Qn,
. )()~(~ iijiiiij yyyyyy
i j, , :
m
i
n
j
m
i
m
i
n
jiijiiiiije
i i
yyyynyyQ1 1 1 1 1
222 ~~ (7.3.4)
pne QQQ , (7.3.5)
.
, 2nQ 2
pQ
2 (m-k) (n-m) , k .
:
)/()/(
mnQkmQF
p
n
(m-k) (n-m) .
),(1 mnkmF . ),(1 mnkmFF , .
. . , X1, , Y . ( Yule, 1907). , . - , , ( ). ; , , , , . - , , , , ; . , ,
58
, - , . , . , , , .
. (Y) (X). , ( -) . ( ) .
R-. , , , . , X Y , Y 1.0. X Y , , 0.0. - , .. 0.0 +1.0 R- . . R- 0.4, Y 10.4 ; , 40% , 60% . , . R- ( R- 1.0 , ).
R. , ( X) (Y) R. . , 0 1. ( ) .
59
, (, IQ, ); , (, , ). , [8]. , . , (.. ) , "" , . .
7.4. STATISTICA STATISTICA .
StatisticsBasic Statistics/Tables (. 7.4.1) Correlation matrices, . , ( ).
7.4.1. .
60
StatisticsMultiple Regression. (7.4.2) , , . .
7.4.2. .
(. 7.4.3)
Residuals/assumptions/prediction , , .
61
7.4.3. .
8.
8.1. , ( Tryon, 1939)
. , , , , .. . , , . , , , , , . , , , . (.. ), "" (, ) ..
, , . , , ""
62
" ". , , , - , . , " ". , , p- (, , K ).
. (Hartigan, 1975) , , . , , . , .. . . , , "" , .
nXXX ...,, 21 , . , , (, . .) ( , . .)
, . .
, . , .
, . , . . , ,
63
.
, .
. , , .
. : , . .
. , .
nXXX ...,, 21 , . , ),( ji XX .
() ),( ji XX , nXXX ...,, 21 :
) 0),( ji XX , ji XX ; ) ),(),( ijji XXXX ; ) ),(),(),( jkkiji XXXXXX .
. .
. ( ) . , , (. . 100), , .
64
, , .
:
xxz 1 , x
xz 2 , xxz
3 , max
4 xxz ,
minmax5 xx
xxz . (8.1.1)
zi; i= 1, 2, ..., 5 ; x ; x ; x () ; maxmin , xx x.
( , STATISTICA Distance measure).
1. (Euclidean distance):
21
1),(
p
kkjkijiE XXXX , (8.1.2)
: kiX k- i- . 2. :
21
1
2),(
p
kkjkikjiWE XXWXX , (8.1.3)
: kW - . , , . , .
3. ml :
mp
k
mkjkijim XXXX
1
1),(
. (8.1.4)
, m = 1 1l (City-block (Manhatten) distance).
. , . , () ( ).
4. ( (Chebychev distance metric)):
65
kjkipk
jich XXXX ,...2,1sup),( . (8.1.5)
, , - .
5. (Power):
rmp
kkjkijip XXXX
1
1),(
, (8.1.2)
: rm, .
( ).
8.2. STATSTICA STATISTICA
. Cluster Analysis :
( ), Joining (tree clustering); - (K-means clustering); (Two-way joining). (Joining)
. . n nXXX ...,, 21
ji XX , ),( ji XX . distance measure Joining.
. . , , ( : Amalgamation (linkage) rule).
1. (Single Linkage). , . , , . . . .
66
2. (Complete Linkage). , . , . , . , .
3. (Unweightedpair-group average). .
4. (Weighted pair-group average). , , .
5. (Unweighted pair-group centroid). .
6. (Weighted pair-group centroid). , , (. . ).
7. (Ward's metod). , . , , .
(. 8.2.1). ( ). , ( ) "" , , . , , .
67
8.2.1. .
,
() , . , . ( ). , (, ) , . "" , , , , . () .
9.
9.1. , ,
: nxxx ...,, 21 , xi , n t= 1, 2, ..., n. , : , , . , , , .
: 1) , ;
68
2) ; 3) , .
: , , .
, , , . :
) ; )
; ) ;
.
. iu , iii SW ,, ,
. :
iiiii SWux . (9.1.1) :
iiiii SWux . (9.1.2)
. , S,
: iiiiii CWuSWu )(),(
: iiiii CWux )1)(( . (9.1.3)
, .
.
(. 9.1.1).
69
9.1.1.
2800 .
9.2. STATISTICA STATISTICA
StatisticsAdvanced Linear/Nonlinear ModesTime Series Analysis (. 9.1.1).
70
9.2.1. .
(9.1.19.1.3). , (, ) .
: , . , . - . (. 9.2.2). , , ( , 25% 4% ).
71
9.2.2. .
"" - G
( , 1976, . 531), ( ) 12 1949 1960 (. Series_g.sta). , .. ( 4 1960 , 1949). , (, , ). , . .
"" . ( ), . , .
, . - , n , n - "" (. , 1976; Velleman and Hoaglin, 1981). , . , , , ( ). , (, ,
72
), , , "" , . , , "" ( ) .
, , , . (. , ). .
. , , . , ( ) .
() . . , ; , , , , . , k i- (i-k)- (Kendall, 1976). (.. ); k ( : , ). , , k .
. () (A), ( )
73
(, 1 30). , , , (, , ) .
. , . . , , - .. , , .. (. 9.2.3).
9.2.3. .
(), . ( ). , , , (. , 1976; . McDowall, McCleary, Meidinger, and Hay, 1980). "" .
. ,
k . ,
74
i- (i-k)- . .
-, . , . , , , , .
-, , , , .
10.
10.1.
, () artificial neural network. . , , , , , . , , , , , .
, , , , , .
. ,
.
75
10.1.1. .
-, ,
, (), . , . , . , , , ( ) . 10.1.1. wi, , (10.1.1).
, :
n
iii wxs
1, (10.1.1)
: xi , .
: )(sfy . (10.1.2)
f , 10.1.2. , (.. S- ):
76
xaexf
1
1)( , (10.1.3)
a .
10.1.2. a=0.1.
a
, . (10.1.3) 10.1.3.
10.1.3. f(x,a).
, [0,1]. :
f x f x f x' ( ) ( ) ( ( )) 1 . (9.1.4)
77
10.1.4. .
(. 10.1.4), , f(x) . n , 3 , :
3,2,11
j
wxfyn
iijij . (10.1.5)
, W, wij i- j- . , , , :
Y=f(XW) (10.1.6) X Y
, f(XW) , XW.
. , . . .
78
, , , , , , , - , ( ).
, , , . . , .
. , , . , , .
, : . , , .
, . , : ("" ) ("" ). , .
. . , , . . .
, , , , , , , . , , (
79
). , (Bishop, 1995). , , .
a.) . - . : "" N- "" , . ( , 2N ). ( , MLP) , , (, , , , MLP- ). , , , . , , () .
b.) . , - , , "", . , , , , . , . ( ), , . , .
c.) . , . , , , , . ,
80
, . - .
, - . , , , . , STATISTICA . ST Neural Networks StatSoft, Inc., , . ST Neural Networks "" , . , .
- . , MLP RBF , , , . , PNN GRNN ( RBF) - ( , ). , , , .
, , , , . , MLP, , , , ( : , ). PNN GRNN : , , "" - . , , , .
81
, ST Neural Networks , . (Goldberg, 1989). , .
, : . , , , ( ) , . , . ( ). , , , .
- (Bishop, 1995; . ). : , . , , . () , , ST Neural Networks . , .
() , , - . ST Neural Networks " ", (Bishop, 1995; Fausett, 1994; Bouland and Kamp, 1988). , , ,
82
. , , . "" . . , . , . , .
10.2. STATISTICA
(. 10.2.1) (automated neural networks), , : (Regression, Time series); (Classification, Time series); (Cluster analysis).
10.2.1. .
, .
83
10.2.2. .
,
(hidden units), (MLP, RBF) (MLP activation function). , .
MLP . . , . , , , .
RBF . , , ( ), , , . , , , ( ).
84
11.
11.1.
, . , "" : (1) (2) ( ). . , , .. . Buffa (1972), Duncan (1974), Grant and Leavenworth (1980), Juran (1962), Juran and Gryna (1970), Montgomery (1985, 1991), Shirland (1993) Vaughn (1974). , " - ", Hart and Hart (1989) Pyzdek (1989), Rinne and Mittag (1995) Mittag (1993).
. . . , , , - , , . ( W. A. Shewhart, , ; . Shewhart, 1931).
. , ( ), -, - R-.
85
11.1.1. X- R-.
; X- , R- . , , , . X - , (, ), R- (.. ) ; , ( , ). , , ( ). . . , .
, (, ), . , .
86
.
. , , , . . , , . , , , ( ; , , Hoyer and Ellis, 1996), ( ), n (n - ). , 95% 1.96. 1.96 3 ( 99% ) - 3 .
. (, ) , . .
, . , . , :
X-. , (, , ..);
R-. ;
87
S-. ;
S2-. .
:
C-. ( , , , 100 ..). , , ( );
U-. , n - ( n , , , ). C-, , ;
Np-. ( , , ), -. , , . , (, 5% ). , , , ;
P-. ( , , ..). , U-. ( ), . P- , (, , , 5% ).
(
88
) ( ).
( ) ( ) , . , , . , () , .
, , - : - ( ), . , (, , , , / ) , , , " " "/ " ( ). , , ( ) . , , / , . , , . .
, . . : .
89
( ). ( ), , "" ( X- R- ). , , , , , ( ). . , , .
. , , , . : (.. ), , . , X- R-, X- , (.. ), , . .
. (C-, U-, Np- P-) (, ..) ( , ..). ,
90
. , P- p p , p.
( ) . . " " , , , . .
X- , . , . . , , , . , X-, , , .
, , . . , ; , , .
, ( ), . , .
91
1.) . , (, ), n . "". , , .
2.) . , . . . . , .
3.) () . - , - ( , ..) . , , n . : ( Y) , , . , , 3 3 . .
, , .
; , . ,
92
. , , . , .
, (. Montgomery, 1985, . 203). , , , . Montgomery (1985) , , .
, , , . , , . , , , . . (, , ). CUSUM, MA, EWMA ( ).
, , (, X-) , , . , (, ) ,
93
. AT&T (. AT&T, 1959) (. Nelson, 1984, 1985; Grant and Leavenworth, 1980; Shirland, 1993). , , (Shewhart) , , , - , , (. Montgomery, 1991, . 102).
, , "" . , , , X- , 0.5 : (1) (.. , ), (2) (.. ) (3) . , 50 50. , , 0.5, 0.5 , .. 0.25.
, , ( 9 ) , 0.59 = .00195. , , , 3 ( ). , , . , Duncan (1974).
94
11.2.
- " " . , , , .
X- . X- , . , , . (. . , R-, S- S2- , ). (Shewhart, 1931) 4. , , , , , . Hoyer and Ellis, 1996.
, Ryan (1989), , (.. -), , ( -). STATISTICA X- ( ) (Johnson, 1949), (. ). X- , .
95
T2 . ( ), , T2 ( Hotelling, 1947).
11.2.1. .
(CUSUM-).
CUSUM Page (1954). Ewan (1963), Johnson (1961), Johnson and Leone (1962).
, . , -. , - "" - , ( ), ( ) .
CUSUM- Barnhard (1959) V-, ( ). , V- . , , , ,
96
, V. , - .
(MA-).
, , . , , , (.. . CUSUM-. , . , .
(EWMA-). () . , , , . , , ( , . Montgomery,1985, 1991).
. . , , - . . r. . , . . ,
97
(, 95%). , , .
. , , , , , , . (.. , ) .
. , , , . , " ". , "" , . , , - "" . , . " " .
, (, ) . - - ( , ..). , .
98
12.
12.1. 1. . . . . .: , 1985. 272 .: . 2. . . : . 2- ., . . ., , 1983. 223 . 3. . . . STATISTICA, EXCEL: . .: : -, 2004. 464 . 4. . . . .: 1974. 120 .: . 5. . ., . ., . . . . .: , 1983. 420 .: . 6. A. E. : . 2- .: . 2006. 752 .: .
12.2. 7. . [ ] . . . : . . -, 2010 : http://slovari.yandex.ru/~//, . . . . ., . 8. StatSoft : http://www.statsoft.ru/ . StatSoft Russia 2010. 9. Wolfram Research, Inc. (http://www.wolfram.com/). Wolfram, Mathematica. 10. . [ ] : . http://psi-logic.narod.ru/fft/fft.htm. 11. [ ] : . http://alglib.sources.ru/fft/fft.php. 12. . : . [ ] : . http://www.gotai.net/documents/doc-nn-002.aspx
99
20072008 , , . 2015 , .
13. 1945-1966 (
). 1945 . . 17 1945 . , , , , , . ..., .. ( 1951 .). -, 1956 . ( 0705).
.. , .. , .. .
19661970 ( ). 0705 - .
100
-- . .. .
19701988 ( ). . 0648. . : ..., . .. ( 1976 .), . .. .
19881997 ( ). -- ( 2205). , , . 2205 - . 1988 . 1992 . . .. , . .. .
1997 ( ). 210202 - . , , , , . , , 090104 . , .
1996 . ..., .. . 4264 .
65 7 .
STATISTICA
,
,
, , . . STATISTICA
, , STATISTICA
STATISTICA
STATISTICA
, STATSTICA
, STATISTICA