Estimating Phase-Type Distributions from Discrete Data

This research paper explores Maximum Likelihood Estimation (MLE) for Scaled Inhomogeneous Phase-Type Distributions based on discrete observations. The work likely contributes to advancements in modeling stochastic processes with applications in areas like queuing theory and reliability analysis.

• •Focuses on Maximum Likelihood Estimation (MLE).
• •Deals with Scaled Inhomogeneous Phase-Type Distributions.
• •Utilizes Discrete Observations for estimation.