The Turnbull Estimator works by using a combination of maximum likelihood estimation (MLE) and the Expectation-Maximization (EM) algorithm. It iteratively updates the estimates of the survival function until it converges to a stable solution. This allows researchers to handle complex data structures and obtain reliable estimates even when the exact timing of events is unknown.
