1. 1. Abernethy RB. An Overview Of Weibull Analysis. The New Weibull Handbook: Reliability & Statistical Analysis for Predicting Life, Safety, Risk, Support Costs, Failures, and Forecasting Warranty Claims, Substantiation and Accelerated Testing, Usin Weibull, Log Normal, CrowAMSAA, Probit, and Kaplan-Meier Models, 5th edition. North Palm Beach, Florida, Robert B. Abernethy: 2004: 13-24.
2. 2. Allegorico C, Mantini V. A Data-Driven Approach for on-line Gas Turbine Combustion Monitoring using Classification Models. PHM Society European Conference 2014, https://doi.org/10.36001/phme.2014.v2i1.1461.
3. 3. Awad M, Khanna R. Support Vector Regression. In Awad M, Khanna R (eds): Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers. Berkeley, CA, Apress: 2015: 67-80, https://doi.org/10.1007/978-1-4302-5990-9_4.
4. 4. Beden S, Abdullah S, Ariffin AK. Review of Fatigue Crack Propagation Models for Metallic Components. European Journal of Scientific Research 2009.
5. 5. Breiman L. Random Forests. Machine Learning 2001; 45(1): 5-32, https://doi.org/10.1023/A:1010933404324.