Temporal disaggregation

Temporal disaggregation, interpolation and extrapolation of time series. Methods: univariate (with or without indicators) and multivariate.
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Mise à jour 21 déc. 2018

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This library contains a complete set of MATLAB functions designed to perform temporal disaggregation of time series using a variety of techniques: methods without indicators (Boot-Feibes-Lisman, Stram-Wei, low-pass interpolation); methods with indicators using different approaches: optimization (Denton), static models (Chow-Lin, Fernandez and Litterman), dynamic models (Santos-Cardoso, Proietti), ARIMA models (Guerrero); and multivariate methods with indicators and transversal constraints (Denton, Rossi, Di Fonzo). The library contains also functions for balancing (proportional, RAS bi-proportional and Van der Ploeg) as well as an interface written in Visual Basic that allows its use in a spreadsheet environment. This library is intended for its use in production mode, easing the tasks of regular data compilation and short-term monitoring, and also for its use in research mode, allowing an in-depth exploration of the results and its internal mechanics.

Citation pour cette source

Enrique M. Quilis (2026). Temporal disaggregation (https://fr.mathworks.com/matlabcentral/fileexchange/69800-temporal-disaggregation), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2017b
Compatible avec toutes les versions
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Version Publié le Notes de version
1.0.0