Adequate discrete sampling method of random variables of two stage dry crushing process and its stochastic equation
2018
Adambayev, M., Almaty Univ. of Power Engineering and Telecommunication (Kazakhstan) | Auezova, A., Almaty Univ. of Power Engineering and Telecommunication (Kazakhstan) | Adambayeva, A., Copper KZ-CA, LLP, Almaty (Kazakhstan) | Zhauyt, A., Almaty Univ. of Power Engineering and Telecommunication (Kazakhstan);Satbayev Univ., Almaty (Kazakhstan)
The article deals with stochastic equations of functional eight dry 2-stage mineral product grinding major variables in the form of correlation and regression dependencies. The dependencies were obtained including the factors, worsening the correlation of variables in question. We propose the algorithm of discretization of random variables, enabling to obtain their adequate discrete data set.
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