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ISO 13528 ZETA SCOREName:
with Xref, uref and ux denoting the "assigned value", the standard uncertainty of the assigned value, and the laboratory's estimate of the standard uncertainty of its result, respectively. Determing an assigned value and its associated uncertainty is discussed on pages 5-10 of the standard. Since there are a mumber of different methods for determining Xref, uref and ux, these values will be defined by the user rather than being determined from the data. According to the ISO 13528 standard, it is not currently common practice to incorporate the uX information provided by the laboratories in the scores used in the proficiency testing. However, when there is an effective system for validating the laboratories estimates of their uncertainties, zeta-scores may be used instead of z-scores. The zeta-scores have a similar interpretation, i.e., zeta-scores with an absolute value greater than 3 should be considered an "action signal" and those with an absolute value greater than 2 should be considered a "warning signal".
<SUBSET/EXCEPT/FOR qualification> where <x> is the response variable; <ulab> is a variable containing the lab standard uncertainties; <xref> is a parameter that defines the assigned value; <uref> is a parameter that defines the standard uncertainty of the assigned value; <y> is a variable where the z-score values are stored; and where the <SUBSET/EXCEPT/FOR qualification> is optional. The <x> vector and the <ulab> vector should be of the same length.
skip 25 read gear.dat y x . let xref = 1. let uref = sd y let ulab = cross tabulate sd y x . let yzeta = iso 13528 zeta score y ulab xref uref . set write decimals 3 print x y ulab yzetaThe following output is generated. ------------------------------------------------------------ X Y ULAB YZETA ------------------------------------------------------------ 1.000 1.006 0.004 0.785 1.000 0.996 0.004 -0.523 1.000 0.998 0.004 -0.261 1.000 1.000 0.004 0.000 1.000 0.992 0.004 -1.047 1.000 0.993 0.004 -0.916 1.000 1.002 0.004 0.261 1.000 0.999 0.004 -0.130 1.000 0.994 0.004 -0.785 1.000 1.000 0.004 0.000 2.000 0.998 0.005 -0.245 2.000 1.006 0.005 0.735 2.000 1.000 0.005 0.000 2.000 1.002 0.005 0.245 2.000 0.997 0.005 -0.367 2.000 0.998 0.005 -0.245 2.000 0.996 0.005 -0.490 2.000 1.000 0.005 0.000 2.000 1.006 0.005 0.735 2.000 0.988 0.005 -1.470 3.000 0.991 0.003 -1.210 3.000 0.987 0.003 -1.748 3.000 0.997 0.003 -0.403 3.000 0.999 0.003 -0.134 3.000 0.995 0.003 -0.672 3.000 0.994 0.003 -0.807 3.000 1.000 0.003 0.000 3.000 0.999 0.003 -0.134 3.000 0.996 0.003 -0.538 3.000 0.996 0.003 -0.538 4.000 1.004 0.003 0.678 4.000 1.002 0.003 0.271 4.000 0.994 0.003 -0.814 4.000 1.000 0.003 0.000 4.000 0.995 0.003 -0.678 4.000 0.994 0.003 -0.814 4.000 0.998 0.003 -0.271 4.000 0.996 0.003 -0.542 4.000 1.002 0.003 0.271 4.000 0.996 0.003 -0.542 5.000 0.998 0.007 -0.203 5.000 0.998 0.007 -0.203 5.000 0.982 0.007 -1.828 5.000 0.990 0.007 -1.016 5.000 1.002 0.007 0.203 5.000 0.984 0.007 -1.625 5.000 0.996 0.007 -0.406 5.000 0.993 0.007 -0.711 5.000 0.980 0.007 -2.032 5.000 0.996 0.007 -0.406 6.000 1.008 0.009 0.768 6.000 1.012 0.009 1.110 6.000 1.008 0.009 0.768 6.000 0.997 0.009 -0.256 6.000 0.988 0.009 -1.024 6.000 1.002 0.009 0.170 6.000 0.995 0.009 -0.426 6.000 0.998 0.009 -0.170 6.000 0.981 0.009 -1.622 6.000 0.996 0.009 -0.341 7.000 0.990 0.007 -0.992 7.000 1.004 0.007 0.397 7.000 0.996 0.007 -0.397 7.000 1.000 0.007 0.099 7.000 0.998 0.007 -0.198 7.000 1.000 0.007 0.000 7.000 1.018 0.007 1.786 7.000 1.010 0.007 0.992 7.000 0.996 0.007 -0.397 7.000 1.002 0.007 0.198 8.000 0.998 0.003 -0.275 8.000 1.000 0.003 0.000 8.000 1.006 0.003 0.827 8.000 1.000 0.003 0.000 8.000 1.002 0.003 0.275 8.000 0.996 0.003 -0.551 8.000 0.998 0.003 -0.275 8.000 0.996 0.003 -0.551 8.000 1.002 0.003 0.275 8.000 1.006 0.003 0.827 9.000 1.002 0.004 0.265 9.000 0.998 0.004 -0.265 9.000 0.996 0.004 -0.531 9.000 0.995 0.004 -0.664 9.000 0.996 0.004 -0.531 9.000 1.004 0.004 0.531 9.000 1.004 0.004 0.531 9.000 0.998 0.004 -0.265 9.000 0.999 0.004 -0.132 9.000 0.991 0.004 -1.196 10.000 0.991 0.005 -1.092 10.000 0.995 0.005 -0.607 10.000 0.984 0.005 -1.942 10.000 0.994 0.005 -0.728 10.000 0.997 0.005 -0.364 10.000 0.997 0.005 -0.364 10.000 0.991 0.005 -1.092 10.000 0.998 0.005 -0.242 10.000 1.004 0.005 0.485 10.000 0.997 0.005 -0.364
Date created: 01/27/2012 |