Statistical Description of Data part 2

Statistical Description of Data part 2

Statistical Description of Data part 2

... definitions into sums of various powers of the data, e.g., the familiar Var ( x 1 ...x N )= 1 N−1     N  j=1 x 2 j   − N x 2   ≈ x 2 − x 2 (14.1.7) but this can magnify the roundoff error by ... few semi-invariants, denoted I k are given by I 2 = M 2 I 3 = M 3 I 4 = M 4 − 3M 2 2 I 5 = M 5 − 10M 2 M 3 I 6 = M 6 − 15M 2 M 4 − 10M 2 3 +30M 3 2 (14.1.11) Notice...

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Statistical Description of Data part 1

Statistical Description of Data part 1

... 609 610 Chapter 14. Statistical Description of Data Sample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC COMPUTING (ISBN 0- 521 -43108-5) Copyright (C) 1988-19 92 by Cambridge University ... http://www.nr.com or call 1-800-8 72- 7 423 (North America only),or send email to trade@cup.cam.ac.uk (outside North America). Chapter 14. Statistical Description of Data 14....

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Statistical Description of Data part 3

Statistical Description of Data part 3

... x); float var1,var2,svar,df,ave1,ave2; avevar (data1 ,n1,&ave1,&var1); avevar (data2 ,n2,&ave2,&var2); df=n1+n2 -2; Degrees of freedom. svar=((n1-1)*var1+(n2-1)*var2)/df; Pooled variance. ... var1,var2,ave1,ave2,df1,df2; avevar (data1 ,n1,&ave1,&var1); avevar (data2 ,n2,&ave2,&var2); if (var1 > var2) { Make F the ratio of the larger variance to the small...

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Statistical Description of Data part 4

Statistical Description of Data part 4

... ((d1 =data1 [j1]) <= (d2 =data2 [j2])) fn1=j1++/en1; Next step is in data1 . if (d2 <= d1) fn2=j2++/en2; Next step is in data2 . if ((dt=fabs(fn2-fn1)) > *d) *d=dt; } en=sqrt(en1*en2/(en1+en2)); *prob=probks((en+0. 12+ 0.11/en)*(*d)); ... 1-800-8 72- 7 423 (North America only),or send email to trade@cup.cam.ac.uk (outside North America). sort(n1 ,data1 ); sort(n2 ,data2 ); en1=n1;...

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Statistical Description of Data part 5

Statistical Description of Data part 5

... of red males N 11 # of red females N 21 # of green females N 22 # of green males N 12 # of males N 1 ⋅ # of females N 2 ⋅ 2.  green # of red N ⋅ 1 # of green N ⋅ 2 total # N Figure ... [1] Anderson, T.W., and Darling, D.A. 19 52, Annals of Mathematical Statistics , vol. 23 , pp. 193 21 2. [2] Darling, D.A. 1957, Annals of Mathematical Statistics ,...

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Statistical Description of Data part 6

Statistical Description of Data part 6

... exp  − 1 2 (a 11 x 2 − 2a 12 xy + a 22 y 2 )  dxdy (14.5.3) where a 11 ,a 12 , and a 22 are arbitrary constants. For this distribution r has the value r = − a 12 √ a 11 a 22 (14.5.4) There are occasions ... z 2 | √ 2  1 N 1 −3 + 1 N 2 −3   (14.5.10) where z 1 and z 2 are obtained from r 1 and r 2 using (14.5.6), and where N 1 and N 2 are, respectively, the n...

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Statistical Description of Data part 7

Statistical Description of Data part 7

... member of pair, for (k=(j+1);k<=n;k++) { and second member. a1 =data1 [j] -data1 [k]; a2 =data2 [j] -data2 [k]; aa=a1*a2; if (aa) { Neither array has a tie. ++n1; 644 Chapter 14. Statistical Description ... respectively. crank(n,wksp1,&sf); sort2(n,wksp2,wksp1); crank(n,wksp2,&sg); *d=0.0; for (j=1;j<=n;j++) Sum the squared difference of ranks. *d += SQR(wksp1[j]-wksp2[j]...

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Statistical Description of Data part 8

Statistical Description of Data part 8

... as origins.quadct(x2[j],y2[j],x1,y1,n1,&fa,&fb,&fc,&fd); quadct(x2[j],y2[j],x2,y2,n2,&ga,&gb,&gc,&gd); d2=FMAX(d2,fabs(fa-ga)); d2=FMAX(d2,fabs(fb-gb)); d2=FMAX(d2,fabs(fc-gc)); d2=FMAX(d2,fabs(fd-gd)); } *d=0.5*(d1+d2); ... http://www.nr.com or call 1-800-8 72- 7 423 (North America only),or send email to trade@cup.cam.ac.uk (outside North America). −3 2 −1...

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Tài liệu Statistical Description of Data part 9 pptx

Tài liệu Statistical Description of Data part 9 pptx

... 0 .25 7 2 4 0 0.086 −0.143 −0.086 0 .25 7 0.886 2 5 5 −0.084 0. 021 0.103 0.161 0.196 0 .20 7 0.196 0.161 0.103 0. 021 −0.084 4 4 4 0.035 −0. 128 0.070 0.315 0.417 0.315 0.070 −0. 128 0.035 4 5 5 0.0 42 ... http://www.nr.com or call 1-800-8 72- 7 423 (North America only),or send email to trade@cup.cam.ac.uk (outside North America). after S–G ( 32, 32, 4) after S–G ( 32, 32, 2) 8 6 4...

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Tài liệu Modeling of Data part 2 doc

Tài liệu Modeling of Data part 2 doc

... one, and a statistical universe of data sets that are drawn from it! 658 Chapter 15. Modeling of Data Sample page from NUMERICAL RECIPES IN C: THE ART OF SCIENTIFIC COMPUTING (ISBN 0- 521 -43108-5) Copyright ... deviations σ of these normal distributionsare the same for all points. Then the probability of the data set is the product of the probabilities of each point, P...

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