Definitions
In plain terms
It makes the weighted output retain the same unit as the input when normalized weights are dimensionless.
Technical
The policy handles zero totals, negative weights, missing pairs, precision, and whether normalization occurs per window.
Scope
Normalization does not make a poor or look-ahead weight schedule valid.
Formula
Normalized weight_i = w_i / sum(w_j)\tilde{w}_i=\frac{w_i}{\sum_j w_j}| Symbol | Meaning | Unit |
|---|---|---|
w_i | raw weight for observation i | weight |
sum(w_j) | total eligible raw weight | weight |
Output unit: ratio
Examples
- A governed lesson uses Weight Normalization only with declared inputs, timing, parameters, and edge-case behavior.
Common misconceptions
- Normalization does not make a poor or look-ahead weight schedule valid.
Concept relationships
Where this concept is used
Evidence and governance
- Weighted Mean NIST · official standard
Supports: preferred label, short definition, technical definition, formula
Limits: The reference does not choose the newest-heavy linear weights used by one technical-analysis WMA convention.
- Reviewed by
- fintech-builder-batch-006
- Last reviewed
- 2026-07-27
- Next review
- 2027-07-27
- Record status
- evidence reviewed
This record is evidence-reviewed and readable, but not yet promoted to published — it is served noindex,follow and excluded from the sitemap.