α | Statistical level of significance. |
ANOVA | Analysis of variance. |
β (beta) | Estimate of the slope. |
Basel II | Basel II is the second of the Basel Accords, which are recommendations on banking laws and regulations. |
BIDV | Business impacting decision variable. |
C | correlation matrix |
C–1 | Inverse of correlation matrix. |
CDE | Critical data element. |
COPDQ | Cost of poor data quality |
DAIC | Define, Assess, Improve, and Control. |
dB units | Decibel units. |
DFSS | Design for Six Sigma. |
DMADV | Define, Measure, Analyze, Design, and Verify. |
DMAIC | Define, Measure, Analyze, Improve, and Control. |
DQ | Data quality. |
DQ score | A composite data quality score based on several dimensions. It can be calculated at the CDE level, at the business function level, or at the enterprise level. |
DQOM | Data quality operating model. |
DQPC | Data quality practices center. |
D2 | Mahalanobis distance |
FMEA | Failure mode effect analysis. |
IR | Issues resolution. |
La(bc) | representation of OA |
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K | Number of variables. |
OA | Orthogonal array. |
M | Input signal. |
MD | Mahalanobis distance. |
MS | Mahalanobis space or reference group. |
MTS | Mahalanobis-Taguchi Strategy. |
ODS | Operational data source. |
PQ | Process quality. |
QLF | Quality loss function. |
r | Sum of squares due to the input signal. |
RWA | Risk-weighted assets. |
Sβ | Sum of squares due to slope. |
Scaled MD | Scaled Mahalanobis distance. |
Se or SSE | Error sum of squares. |
SME | Subject-matter expert. |
S/N ratio | Signal-to-noise ratio. |
σ or s or s.d. | Standard deviation. |
SPC | Statistical process control. |
ST | Total sum of squares. |
Ve | Error variance. |
V(X) | Variance of X. |
Xi | Original variables. |
Zi | Standardized variables. |
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