Joint mean-covariance regression modeling with unconstrained parametrization for continuous longitudinal data has provided statisticians and practitioners with a powerful analytical device. How to ...
This Collection supports and amplifies research related to SDG 3: Good Health & Well-Being. Understanding how complex biological behaviors emerge from interacting molecular, cellular, or ecological ...
Cite: R. Lyu, X. Su, E. Du, H. Guo, Q. Chen and C. Kang. "Efficient Scheduling of Discrete Industrial Processes through Continuous Modeling", IEEE Transactions on ...
Discrete-choice models are a powerful and flexible method for studying habitat selection, in part because they allow resource availability to change at every choice. Here, we consider application of ...
Abstract: This article describes the discrete-time modeling approach for interturn short circuits in interior permanent magnet synchronous motors with concentrated windings. The derived model has been ...
Abstract: This paper presents a new bilinear discrete-time modeling method for switching power converter circuits. The method utilizes a new approximation of the matrix exponential involved in the ...
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