Compartmental models and competing risk
Autor: | G. M. Tallis |
---|---|
Rok vydání: | 1994 |
Předmět: |
Risk
Statistics and Probability Stochastic Processes General Immunology and Microbiology Markov chain Iterative method Applied Mathematics General Medicine Competing risks Biological Evolution Models Biological Integral equation Markov Chains General Biochemistry Genetics and Molecular Biology Exponential function Modeling and Simulation Applied mathematics Time dependency Uniqueness General Agricultural and Biological Sciences Mathematical economics Mathematics |
Zdroj: | Mathematical Biosciences. 121:111-122 |
ISSN: | 0025-5564 |
DOI: | 10.1016/0025-5564(94)90033-7 |
Popis: | General compartmental models are derived using competing risk arguments. When the risk variables are exponential, the results specialize to the standard stationary Markov compartmental model. Iterative methods of solving the fundamental integral equation are given, and the uniqueness of the solution is incidentally established. The analysis is extended to include fixed inputs, orderly and nonorderly stream infusions, and time dependency. The study is motivated by a biological system that evolves through various stages over time. |
Databáze: | OpenAIRE |
Externí odkaz: |