Data-Based Modelling for Prediction
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-46866-7_3
Reference5 articles.
1. RPubs. (n.d.). https://rpubs.com/nabilabd/118172
2. Park, C. (2017). Weibullness test and parameter estimation of the three-parameter weibull model using the sample correlation coefficient. International Journal of Industrial Engineering: Theory, Applications and Practice, 24, 4. https://doi.org/10.23055/ijietap.2017.24.4.2848
3. Galatro, D., Romero, D. A., Freitez, J. A., Da Silva, C., Trescases, O., & Amon, C. H. (2021). Modeling degradation of lithium-ion batteries considering cell-to-cell variations. Journal of Energy Storage, 44, 103478. https://doi.org/10.1016/j.est.2021.103478
4. Galatro, D., Trigo-Ferre, R., Nakashook-Zettler, A., Costanzo-Alvarez, V., Jeffrey, M., Jacome, M., Bazylak, J., & Amon, C. H. (2023). Framework for evaluating potential causes of health risk factors using average treatment effect and uplift modelling. Algorithms, 16(3), 166. https://doi.org/10.3390/a1603016z
5. Villaseñor, J. A., & González-Estrada, E. (2015). A variance ratio test of fit for Gamma distributions. Statistics & Probability Letters, 96, 281–286. https://doi.org/10.1016/j.spl.2014.10.001
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