Search for tag: "estimate"

FDS-S2-03-1-3 Large sample theory of A/B testing

We work through how to apply large-sample theory to A/B testing.

From  David Sterratt on January 28th, 2021 0 likes 170 plays 0  

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 199 plays 0  

4.a

First video on Informed Search Algorithms.

From  Claudia-Elena Chirita on January 18th, 2021 0 likes 252 plays 0  

FDS-S2-01-2-9 Estimating confidence intervals for means of small samples

We'll look at means from small samples, where the normal approximation of the sampling distribution of the mean breaks down.

From  David Sterratt on January 15th, 2021 0 likes 162 plays 0  

FDS-S2-01-2-8 Interpretation of confidence intervals

We'll consider two aspects of the interpretation of confidence intervals

From  David Sterratt on January 15th, 2021 0 likes 152 plays 0  

FDS-S2-01-2-7 Bootstrap confidence intervals

We introduce the bootstrap method of estimating confidence intervals

From  David Sterratt on January 15th, 2021 0 likes 180 plays 0  

FDS-S2-01-2-4 Principle of confidence intervals

Here we introduce the principle of confidence intervals graphically.

From  David Sterratt on January 14th, 2021 0 likes 200 plays 0  

FDS-S2-01-2-3 Standard error

We introduce the standard error of an estimator and, in particular, the standard error of the mean.

From  David Sterratt on January 14th, 2021 0 likes 210 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 237 plays 0  

IDS - Week 10 - 05 - Quantifying uncertainty

Constructing a bootstrap confidence interval for the slope

From  Mine Cetinkaya-Rundel on November 25th, 2020 0 likes 19 plays 0  

Topic 49: Least Squares Estimation (PETARS, Chapter 6)

The least squares approach is presented as a non-probabilistic method for designing an estimator of a set of parameters, assuming a model is provided for describing the data. This is presented as…

From  James Hopgood on October 28th, 2020 0 likes 63 plays 0  

Topic 42: Introduction to Estimation Theory (PETARS, Chapter 6)

In this video, Estimation Theory is introduced in which unknown parameters are estimated from data, rather than assuming that problems can be described by fully known distributions or statistics.…

From  James Hopgood on October 21st, 2020 0 likes 103 plays 0  

USMR lecture 2 part 4

Estimating the mean height of the class; Standard Error

From  Martin Corley on September 20th, 2020 0 likes 161 plays 0  

Careers in Tech 2018 Employer Video - Employ.ed

Careers in Tech 2018 Employer Video - Employ.ed

From  Ailsa Wright on February 7th, 2018 0 likes 19 plays 0