Examples
Examples
Try the starting example
- Reference same-bin counts
- 20,30,50
- Current same-bin counts
- 30,30,40
- Total variation distance
- 0.1
- L1 histogram distance
- 0.2
- Maximum bin probability change
- 0.1
Try another scenario
- Reference same-bin counts
- 20,30,50
- Current same-bin counts
- 10,20,70
- Total variation distance
- 0.2
- L1 histogram distance
- 0.4
- Maximum bin probability change
- 0.2
Calculation method
Calculation method
Total variation distance
sum(abs(u/sum(a)-v/sum(b)) for u,v in zip(a,b))/2
L1 histogram distance
sum(abs(u/sum(a)-v/sum(b)) for u,v in zip(a,b))
Maximum bin probability change
max(abs(u/sum(a)-v/sum(b)) for u,v in zip(a,b))
Symbols and units
- a
- Reference same-bin counts
- b
- Current same-bin counts
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Calculation steps and notation
sum(list) adds all entries in the list.
Assumptions & limits
Assumptions & limits
- Common bin boundaries fixed before entry; equal-length nonnegative count arrays with positive totals. Named probability distances, no automatic drift alarm threshold. Supported limits: All numeric inputs must be finite. Only the explicitly described mathematical scenario is supported.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.