This dataset consists of measurements of deviations from a nominal value. A common model for such data is a mixture of Normal or Laplace distributions with a common mean. This is not a mixture described in the literature to any significant extent. **Regress+** contains a few such "custom" mixtures.
The usual interpretation of a binary mixture is that it is an undifferentiated composite of two populations. If that is a valid interpretation here, then it would be up to the analyst to identify and characterize the two populations.

## Model

Laplace(A,B)&Laplace(A,C) = p Laplace(A,B) + (1 − p) Laplace(A,C)
## Parameters

- A -- common mean
- B -- scale for Laplace #1
- C -- scale for Laplace #2
- p -- fraction attributable to component #1