Search for tag: "estimators"

FDS-S2-03-1-1 principle of A/B testing

We explain the principle of A/B testing, and how to derive confidence intervals for the difference in population proportions using the bootstrap.

From  David Sterratt on January 28th, 2021 0 likes 134 plays 0  

FDS-S2-01-2-2 Bias and variance

We'll introduce the concept of bias and variance of estimators.

From  David Sterratt on January 14th, 2021 0 likes 173 plays 0  

Topic 48: Maximum Likelihood Estimation (PETARS, Chapter 6)

This video introduces the maximum likelihood estimator (MLE) technique as a way of determining a good estimator for a given probabilistic problem. This method is very straightforward and intuitive,…

From  James Hopgood on October 26th, 2020 0 likes 76 plays 0  

Topic 46: Cramer-Rao Lower Bound (PETARS, Chapter 6)

In this video, the question of finding the lower bound on the performance of all estimators for a particular probabilistic problem, as a benchmark with which to compare the performance of a given…

From  James Hopgood on October 24th, 2020 0 likes 94 plays 0  

Topic 44: Minimum Mean Square Error Estimators (PETARS, Chapter 6)

This video introduces the simple mean square error (MSE) as a criterion which trades-off bias and variance for an estimator. The relationship between the MSE and bias and variance is defined. The…

From  James Hopgood on October 23rd, 2020 0 likes 75 plays 0  

Lecture 2 Part 4

Lecture 2 Part 4

From  Anne Templeton on September 10th, 2020 0 likes 199 plays