Statistical quality control for ternary ordinal quality data
β Scribed by Emil Bashkansky; Tamar Gadrich
- Publisher
- John Wiley and Sons
- Year
- 2010
- Tongue
- English
- Weight
- 694 KB
- Volume
- 27
- Category
- Article
- ISSN
- 1524-1904
- DOI
- 10.1002/asmb.868
No coin nor oath required. For personal study only.
β¦ Synopsis
The paper considers various aspects of statistical quality control by means of sample data received on a ternary ordinal scale. A new method for evaluating quality level and dispersion, free of any latent numerical scale assumptions, is proposed. The emphasis is on working with large samples, which enable the statistical analysis, estimation and control by the use of approximate analytical expressions of these measures to be considerably simplified. Two complementary studies demonstrate the usage of the proposed approach. Copyright Β© 2010 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
Environmental statistics provide an important input to environmental policy, at the regional, national and international scale. The collation of environmental statistics, however, is fraught with difficulties, due to the wide range of environmental phenomena, data sources and agencies involved. As a
## Abstract Genomeβwide scans of nucleotide variation in human subjects are providing an increasing number of replicated associations with complex disease traits. Most of the variants detected have small effects and, collectively, they account for a small fraction of the total genetic variance. Ver