Search Results - subject:"Multivariable"

Did you mean: subject:"multivariate" (16,867 results)

Predicting changes in Bitcoin price using fractional grey model

Parkoohi, Jaber Roohi; Heidari, Hanif; Malek, Alaeddin - In: Blockchain, crypto assets, and financial innovation : a …, (pp. 234-251). 2025

Persistent link: https://www.econbiz.de/10015433279

Forecasting emergency department occupancy with advanced machine learning models and multivariable input

Tuominen, Jalmari; Pulkkinen, Eetu; Peltonen, Jaakko; … - In: International journal of forecasting 40 (2024) 4, pp. 1410-1420

Persistent link: https://www.econbiz.de/10015438420

Forecasts and analysis of economic outputs for Chinese high-tech industries : insights from spatial-temporal information fusion

Ding, Song; Wang, Yi; Shen, Xingao - In: Computational economics 66 (2025) 6, pp. 5207-5255

Persistent link: https://www.econbiz.de/10015591479

Grey Prediction Methods and Their Applications

Zeng, Bo; Shi, Zhuanzhuan - 2024

-- Multivariable grey prediction model -- Special sequence grey prediction model -- Parameter optimization of grey prediction model …

Persistent link: https://www.econbiz.de/10015075824

Factors associated with the author-reported cost-effectiveness threshold in high-income countries : systematic review and multivariable modelling

Boespflug, Nicolas; Wittwer, Jérôme; Bénard, Antoine - In: The European journal of health economics 25 (2024) 4, pp. 631-639

Persistent link: https://www.econbiz.de/10014565051

Performance prediction of multivariable linear regression based on the optimal influencing factors for ranking aggregation in crowdsourcing task

Xing, Yuping; Zhan, Yongzhao - In: Data Technologies and Applications 58 (2024) 2, pp. 176-200

much can be improved of. Design/methodology/approach In this paper, performance prediction of multivariable linear …

Persistent link: https://www.econbiz.de/10015342722

Discovering optimal weights in weighted‑scoring stock‑picking models : a mixture design approach

Yeh, I‑Cheng; Liu, Yi‑Cheng - In: Financial innovation : FIN 6 (2020) 41, pp. 1-28

Certain literature that constructs a multifactor stock selection model adopted a weighted‑scoring approach despite its three shortcomings. First, it cannot effectively identify the connection between the weights of stock‑picking concepts and portfolio performances. Second, it cannot provide...

Persistent link: https://www.econbiz.de/10012317629

Formation of policies guided by multivariable control theory

Khalife, Joe J.; Al Abbas, Mohammad; Saab, Samer S. - In: Operations research perspectives 7 (2020), pp. 1-9

correlated multiple-policy multiple-objective (MPMO) processes. Enthused by the effectiveness of multivariable control theory … multivariable control problem. This paper also recommends a class of multivariable controllers that is suitable for this domain of …

Persistent link: https://www.econbiz.de/10012198095

Formation of policies guided by multivariable control theory

Khalife, Joe J.; Al Abbas, Mohammad; Saab, Samer S. - In: Operations Research Perspectives 7 (2020), pp. 1-9

Persistent link: https://www.econbiz.de/10012662808

Discovering optimal weights in weighted-scoring stock-picking models: A mixture design approach

Yeh, I-Cheng; Liu, Yi-Cheng - In: Financial Innovation 6 (2020) 1, pp. 1-28

Certain literature that constructs a multifactor stock selection model adopted a weighted-scoring approach despite its three shortcomings. First, it cannot effectively identify the connection between the weights of stock-picking concepts and portfolio performances. Second, it cannot provide...

Persistent link: https://www.econbiz.de/10012602878