Ségalas, C., Helmer, C., Genuer, R., & Proust‐Lima, C. (2024). Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data. Wiley. https://doi.org/10.1002/sim.10214
Style de citation Chicago (17e éd.)Ségalas, Corentin, Catherine Helmer, Robin Genuer, et Cécile Proust‐Lima. Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data. Wiley, 2024. https://doi.org/10.1002/sim.10214.
Style de citation MLA (9e éd.)Ségalas, Corentin, et al. Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data. Wiley, 2024. https://doi.org/10.1002/sim.10214.