American Psychological Association 6th edition

Di Michele, P., & orcid:0009-0003-2427-. (2025). Derivation and General Form of an Optimal Recursive Algorithm for Moving Polynomial Regression ; A Novel Analytical Formulation for Computational Efficiency in the Dynamic Estimation of Polynomial Trends. https://doi.org/10.5281/zenodo.17179337

ISO-690 (author-date, English)

DI MICHELE, Pierpaolo und orcid:0009-0003-2427-, 2025. Derivation and General Form of an Optimal Recursive Algorithm for Moving Polynomial Regression ; A Novel Analytical Formulation for Computational Efficiency in the Dynamic Estimation of Polynomial Trends. . 1 Januar 2025. DOI 10.5281/zenodo.17179337.

Modern Language Association 9th edition

Di Michele, P., und orcid:0009-0003-2427-. Derivation and General Form of an Optimal Recursive Algorithm for Moving Polynomial Regression ; A Novel Analytical Formulation for Computational Efficiency in the Dynamic Estimation of Polynomial Trends. Januar 2025, https://doi.org/10.5281/zenodo.17179337.

Mohr Siebeck - Recht (Deutsch - Österreich)

Di Michele, Pierpaolo/orcid:0009-0003-2427-: Derivation and General Form of an Optimal Recursive Algorithm for Moving Polynomial Regression ; A Novel Analytical Formulation for Computational Efficiency in the Dynamic Estimation of Polynomial Trends, 2025,

Emerald - Harvard

Di Michele, P. und orcid:0009-0003-2427-. (2025), „Derivation and General Form of an Optimal Recursive Algorithm for Moving Polynomial Regression ; A Novel Analytical Formulation for Computational Efficiency in the Dynamic Estimation of Polynomial Trends“, verfügbar unter:https://doi.org/10.5281/zenodo.17179337.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.