This lecture covers key concepts in statistics, starting with the demonstration of memorylessness in the exponential distribution. It then delves into the analysis of stationary processes, showcasing the wide sense stationary condition and ergodicity. Finally, the Maximum Likelihood Estimation method is explained through practical examples involving single-photon detectors and time-to-digital converters.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace