AfriRemoteLabs
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AfriRemoteLab UncertaintyLab Analyzer

Build traceable uncertainty budgets, account for correlated inputs and compare first-order propagation with Monte Carlo distributions.
Interactive browser analysis · no paid API

Input quantities

Enter standard uncertainties (1σ). Distribution widths are calculated from u; enter uniform half-width / √3 or triangular half-width / √6. Degrees of freedom are optional and affect independent-input linear coverage only.

Matrix ordering follows the variable table. Correlated Monte Carlo supports normal inputs only; singular positive-semidefinite matrices are accepted.

Type A & Type B helpers

Analysis overview

Use the synthetic example to explore the workflow, then replace it with your own data.

Export analysis