Nelson Rules
Details
- Full Name
-
Nelson Rules (Tests for Special Causes)
Core Concepts:
-
8 rules for detecting non-random patterns in Control Charts
- Rule 1
-
One point beyond 3σ (Outlier)
- Rule 2
-
9 consecutive points on the same side of the mean (Shift/Bias)
- Rule 3
-
6 consecutive points steadily increasing or decreasing (Trend)
- Rule 4
-
14 points alternating up and down (Oscillation)
- Rule 5
-
2 out of 3 points beyond 2σ on the same side
- Rule 6
-
4 out of 5 points beyond 1σ on the same side
- Rule 7
-
15 points within 1σ (suspiciously low variance)
- Rule 8
-
8 points outside ±1σ, but none beyond ±3σ (systematic oscillation)
- Common Cause vs. Special Cause
-
Distinguishing inherent from assignable variation
- Zones A/B/C
-
Dividing the Control Chart into 6 zones (each 1σ wide)
- False Positive Trade-off
-
More active rules = higher sensitivity, but more false alarms
- Key Proponent
-
Lloyd S. Nelson (1984, Journal of Quality Technology)
Relationship to Other Anchors:
- Control Chart (Shewhart)
-
Nelson Rules are applied to Control Charts
- SPC
-
Nelson Rules are a tool within Statistical Process Control
- Western Electric Rules
-
Predecessor; Nelson Rules extend these with Rules 5-8
When to Use:
-
Detecting non-random patterns in time series data
-
Process monitoring in manufacturing, pharmaceuticals, healthcare
-
Potential application in IT monitoring (memory leaks, performance degradation)
-
Quality assurance in Six Sigma / DMAIC Control Phase