Analysis examines long-range dependence and parameter estimation methods in fractional binomial processes, indicating significant properties.
Key Points
The long-range dependence of the fractional binomial process was thoroughly analyzed, revealing important characteristics.
Key metrics indicate the second-order properties and noise behavior of the fractional binomial process for effective applications.
Simulation of sample paths was conducted to demonstrate the behavior of the fractional binomial process across variations in parameters and noise levels, enhancing understanding of dynamics involved in these processes. Supports practical applications in related domains needing precise parameter evaluations.