Lecture

Estimating R: Maximum Likelihood Method

Description

This lecture covers the concept of estimating parameters in statistical models using the maximum likelihood method. It explains the process of choosing estimators and the properties desired in an estimator. The lecture also introduces the method of moments and the concept of point estimation, providing examples to illustrate the theoretical concepts.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_sunncodx

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

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