A statistical approach to quality control of non-normal lithographical overlay distributions

1992 ◽  
Vol 36 (5) ◽  
pp. 835-844 ◽  
Author(s):  
R. M. Booth ◽  
K. A. Tallman ◽  
T. J. Wiltshire ◽  
P. L. Yee
Keyword(s):  
Quality Control ◽  
Statistical Approach

Statistical Approach to Quality Control of Large Thermodynamic Databases

2012 ◽  
Vol 43 (5) ◽  
pp. 1113-1118 ◽  
Author(s):  
Henrik Nyman ◽  
Tarja Talonen ◽  
Antti Roine ◽  
Mikko Hupa ◽  
Jukka Corander
Keyword(s):  
Quality Control ◽  
Statistical Approach ◽  
Thermodynamic Databases

scholarly journals Statistical approach to the selection of the tolerances for distance to agreement improves the quality control of the dose delivery in radiotherapy

2020 ◽  
Vol 65 (14) ◽  
pp. 145004
Author(s):  
Mateusz Baran ◽  
Damian Kabat ◽  
Monika Tulik ◽  
Krzysztof Rzecki ◽  
Tomasz Sośnicki ◽  
...  
Keyword(s):  
Quality Control ◽  
Statistical Approach ◽  
Dose Delivery ◽  
Selection Of

scholarly journals OC193: Quality control of fetal biometry: a statistical approach

2004 ◽  
Vol 24 (3) ◽  
pp. 268-268
Author(s):  
L. J. Salomon ◽  
J. P. Bernard ◽  
C. J. Harris ◽  
M. Duyme ◽  
Y. Ville
Keyword(s):  
Quality Control ◽  
Statistical Approach ◽  
Fetal Biometry

scholarly journals Identification and regionalization of dominant runoff processes – a GIS-based and a statistical approach

2009 ◽  
Vol 13 (6) ◽  
pp. 779-792 ◽  
Author(s):  
C. Müller ◽  
H. Hellebrand ◽  
M. Seeger ◽  
S. Schobel
Keyword(s):  
Quality Control ◽  
Spatial Distribution ◽  
Statistical Approach ◽  
Gis Analysis ◽  
Data Input ◽  
Rainfall Events ◽  
Micro Scale ◽  
Extensive Field ◽  
Accuracy Data ◽  
Meso Scale

Abstract. In this study two approaches are presented to identify Dominant Runoff Processes (DRP) with respect to regionalization. The approaches are a simplification of an existing method to determine DRP by means of an extensive field campaign. The first approach combines the permeability of the substratum, land-use and slope of the basin in a GIS-based analysis. The second approach makes use of discriminant analysis of the physiographic characteristics of the basin and links it to the GIS analysis. The results of the developed approaches are maps, which identify dominant runoff processes and represent a spatial distribution of the hydrological behaviour of the soil during prolonged rainfall events. The approaches have been developed in a micro-scale basin (Germany). An additional meso-scale basin was introduced in which the two approaches were applied for quality control. The thus generated maps for the micro-scale basin were compared with an existing DRP map, which was derived with the existing method. The first approach showed a resemblance of 79% when compared to this map, whereas the second approach showed only a resemblance of 51%. The generated maps for the meso-scale basin were compared to DRP that were determined point wise according to the existing method. The first approach showed in this case a resemblance of 81%, whereas the second approach showed a resemblance of 68%. Therefore, the first approach is preferred to the second approach when accuracy, data input and calculation time are concerned.

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