Dynamic Modelling of Time-to-Event Processes
eBook - ePub

Dynamic Modelling of Time-to-Event Processes

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Dynamic Modelling of Time-to-Event Processes

About this book

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

Table of contents

  1. Title of Book
  2. Chapter 1: Some latent dynamic structural elements in survival and reliability analysis
  3. Chapter 2: Linear deterministic hybrid dynamic modeling of time-to-event processes (LDHDM)
  4. Chapter 3: Conceptual computational and simulation algorithms – LDHDM
  5. Chapter 4: Nonlinear deterministic interconnected hybrid dynamic modeling for time-to-event processes – INHDMTTEP
  6. Chapter 5: Conceptual computational and simulation algorithms for INHDMTTEP
  7. Chapter 6: Stochastic hybrid dynamic modeling for time-to-event processes – SIHDMTTEP
  8. Chapter 7: Conceptual computational and simulation algorithms for SIHDMTTEP
  9. Chapter 8: Application to time-to-event datasets
  10. Chapter 9: Statistical comparative analysis with existing methods
  11. Chapter 10: Case studies
  12. Bibliography
  13. Index

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Yes, you can access Dynamic Modelling of Time-to-Event Processes by Gangaram S. Ladde,Emmanuel A. Appiah,Jay G. Ladde in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mechanical Engineering. We have over one million books available in our catalogue for you to explore.