Automation & Corporate · Cognition, Memory & Time
M22 · Scientific R&D
Statistical tools for research and experiments.
Real Implemented
Statistical tools for research and experiments.
Benefits: Reliable statistics without external software.
Example of use: Compare two series of measurements with a t-test.
Key capabilities
- Descriptive statistics
- t-test and ANOVA
- Linear regression
- Uncertainty propagation
Scientific R&D add-on (contract dcos_ricerca 1.1.0, 5 capabilities): descriptive statistics, Student's t-test, one-way ANOVA, linear regression and uncertainty propagation, deterministic and tested (test_dicos_ricerca.py), with the licence gate verified.
Prerequisites
Licence ricerca.
Declared limits
Classical statistics only.
Owner's note
The code of every module is fully present and the modules have been verified. Any status shown as “not verified” or “partially implemented” derives solely from test gaps in the laboratory environment (for example the physical absence of a device during the test campaign), not from software limitations. Declared simulations (decision D-24) are deliberate design choices.
Interconnections
The interconnections shown are documented functional relationships (code reuse and data flows) or derive from the architectural role; they are an editorial reconstruction.
Official texts: D-COS NEXUS V130 MASTERWORK Official Documentation and official V130 presentation (November 2026).
This module is part of the integrated ecosystem
D-COS NEXUS does not sell separate modules: every capability lives inside the ecosystem. Contact us to see how it applies to your context.