Dynamic Modelling of Time-to-Event Processes
- Nyhet
Häftad, Engelska, 2025
Av Gangaram S. Ladde, Emmanuel A. Appiah, Jay G. Ladde, USA) S. Ladde, Gangaram (Professor, Department of Mathematics and Statistics, University of South Florida, Tampa, Florida, Emmanuel A. (Prairie View A&M University Department of Mathematics) Appiah, USA) G. Ladde, Jay (Professor, Emergency Medicine, College of Medicine, University Central Florida, Florida, USA. Senior Associate Program Director of Emergency Medicine, Orlando Health, Florida, Gangaram S Ladde, Emmanuel A Appiah, Jay G Ladde, USA) A Appiah, Emmanuel (Assistant Professor, Department of Mathematics, Prairie View A&M University, Prairie View, Texas, USA) G. Ladde, Jay (Professor, Emergency Medicine, College of Medicine, University Central Florida, Florida, USA. Senior Associate Program Director of Emergency Medicine, Orlando Health, Florida
2 349 kr
Dynamic Modelling of Time-to-Event Processes covers an alternative dynamic modelling approach for studying time-to-event processes. This innovative approach covers some key elements, including the Development of continuous-time state of dynamic time-to-event processes, an Introduction of an idea of discrete-time dynamic intervention processes, Treating a time-to-event process operating/functioning under multiple time-scales formulation of continuous and discrete-time interconnected dynamic system as hybrid dynamic time-to-event process, Utilizing Euler-type discretized schemes, developing theoretical dynamic algorithms, and more.
Additional elements of this process include an Introduction of conceptual and computational state and parameter estimation procedures, Developing multistage a robust mean square suboptimal criterion for state and parameter estimation, and Extending the idea conceptual computational simulation process and applying real datasets.
- Presents a dynamic approach which does not require a closed-form survival/reliability distribution
- Provides updates that are independent of existing Maximum likelihood, Bayesian, and Nonparametric methods
- Applies to nonlinear and non-stationary interconnected large-scale dynamic systems
- Includes frailty and other models in survival analysis as case studies
Produktinformation
- Utgivningsdatum2025-10-01
- Mått152 x 229 x undefined mm
- SpråkEngelska
- SerieAdvances in Reliability Science
- Antal sidor376
- FörlagElsevier Science
- EAN9780443223433