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     Uni Köln > WiSo-Fakultät > Seminar für Wirtschafts- und Sozialstatistik > Institut > LS Mosler > Prof. Mosler > Datenportal

Datenportal des Lehrstuhls für Statistik und Ökonometrie

 

Banknoten data


The data set (and description) can be downloaded here:
http://stat.ethz.ch/Teaching/Datasets/banknoten.dat


Description:

TITLE              : banknoten
KEYWORDS (statist) : multivariate, discriminant analysis
APPLICATION AREA   : everyday life, economy

SHORT DESCRIPTION  :
                     Riedwyl's data on bank notes,
                     100 genuine and 100 counterfeit bank notes
                     Explanatory variables are:
                      - length of the bank note;
                      - height of the bank note, measured on the left;
                      - height of the bank note, measured on the right;
                      - distance of inner frame to the lower border;
                      - distance of inner frame to the upper border;
                      - length of the diagonal.

SPEC. CHARACT.     : Some 'outliers'

DIM.(VAR./OBS.)    : 7 / 200

/ LITERATURE       :  /

                     Flury and Riedwyl (1988)

NOTES              : (This file was created in 1995)


Descriptive statistics:

Dataset= banknoten : n= 200 , d= 6 


Class1: n= 100 

Covariance matrix:
       [,1]    [,2]    [,3]    [,4]    [,5]    [,6]
[1,] 0.1502  0.0580  0.0573  0.0571  0.0145  0.0055
[2,] 0.0580  0.1326  0.0859  0.0567  0.0491 -0.0431
[3,] 0.0573  0.0859  0.1263  0.0582  0.0306 -0.0238
[4,] 0.0571  0.0567  0.0582  0.4132 -0.2635 -0.0002
[5,] 0.0145  0.0491  0.0306 -0.2635  0.4212 -0.0753
[6,] 0.0055 -0.0431 -0.0238 -0.0002 -0.0753  0.1998

Correlation matrix:
       [,1]    [,2]    [,3]    [,4]    [,5]    [,6]
[1,] 1.0000  0.4111  0.4160  0.2293  0.0575  0.0316
[2,] 0.4111  1.0000  0.6639  0.2420  0.2076 -0.2646
[3,] 0.4160  0.6639  1.0000  0.2547  0.1329 -0.1497
[4,] 0.2293  0.2420  0.2547  1.0000 -0.6316 -0.0007
[5,] 0.0575  0.2076  0.1329 -0.6316  1.0000 -0.2596
[6,] 0.0316 -0.2646 -0.1497 -0.0007 -0.2596  1.0000

Median:          214.9668 129.9137 129.6902 8.2604 10.1898 141.5212 

Mean:            214.969  129.943  129.72   8.305  10.168  141.517 
MCD-estimated:
MDC-0.975-Mean:  214.9909 129.9261 129.6898 8.2227 10.2023 141.5591 
MDC-0.750-Mean:  214.9977 129.9182 129.692  8.2284 10.2125 141.5489 
MDC-0.500-Mean:  214.993  129.9163 129.686  8.2267 10.2    141.5593 


Class2: n= 100 

Covariance matrix:
        [,1]    [,2]    [,3]    [,4]    [,5]    [,6]
[1,]  0.1240  0.0315  0.0240 -0.1006  0.0194  0.0116
[2,]  0.0315  0.0651  0.0468 -0.0240 -0.0119 -0.0051
[3,]  0.0240  0.0468  0.0889 -0.0186  0.0001  0.0342
[4,] -0.1006 -0.0240 -0.0186  1.2813 -0.4902  0.2385
[5,]  0.0194 -0.0119  0.0001 -0.4902  0.4045 -0.0221
[6,]  0.0116 -0.0051  0.0342  0.2385 -0.0221  0.3112

Correlation matrix:
        [,1]    [,2]    [,3]    [,4]    [,5]    [,6]
[1,]  1.0000  0.3509  0.2285 -0.2524  0.0868  0.0589
[2,]  0.3509  1.0000  0.6149 -0.0833 -0.0735 -0.0355
[3,]  0.2285  0.6149  1.0000 -0.0550  0.0007  0.2055
[4,] -0.2524 -0.0833 -0.0550  1.0000 -0.6809  0.3777
[5,]  0.0868 -0.0735  0.0007 -0.6809  1.0000 -0.0622
[6,]  0.0589 -0.0355  0.2055  0.3777 -0.0622  1.0000

Median:          214.7982 130.278  130.1784 10.6688 11.1385 139.5366 

Mean:            214.823  130.3    130.193  10.53   11.133  139.45 
MCD-estimated:
MDC-0.975-Mean:  214.7679 130.2556 130.1667 10.8704 11.1074 139.6099 
MDC-0.750-Mean:  214.7684 130.262  130.1785 10.9038 11.1013 139.6063 
MDC-0.500-Mean:  214.7663 130.255  130.1675 10.8975 11.1    139.6025 


Measures:
Mah.Dist:                        6.9462 
Mah.Dist-MCD-0.975:              7.88 
Mah.Dist-MCD-0.750:              7.9346 
Mah.Dist-MCD-0.500:              7.5434 
 



 

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