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eNauka >  Results >  Short-therm forecasting of karst spring turbidity using autoregressive (AR), cross-regresive (CR), and auto-cross-regressive (ARCR) models
Title: Short-therm forecasting of karst spring turbidity using autoregressive (AR), cross-regresive (CR), and auto-cross-regressive (ARCR) models
Authors: Jovana Lončar; Marina Pešić; Tanja Petrović; Aleksandar Tanasković; Radisav Golubović; Vesna Ristić Vakanjac  
Other contributors: Ristić V.; Maksim M.; Vasudeva S.
Issue Date: 2025
Publication: IRASA, Interenational Scientific Conference Science, Education, Technology and Innovation, SETI VII 2025, Belgrade, 11th October 2025
Publisher: IRASA – International Research Academy of Science and Art
Type: Conference Paper
ISBN: 978-86-6022-703-6 Search Idenfier
Collation: str. 356-368
DOI: 10.62982/seti07.jolo.34
URI: https://dr.rgf.bg.ac.rs/s/repo/item/10558
https://enauka.gov.rs/handle/123456789/1019515
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