Lecture

Confidence Intervals: Margins, Coverage, Pivots

In course

Voluptate anim commodo do non id laboris reprehenderit sint in proident. Labore excepteur deserunt veniam consequat id nisi adipisicing eu velit occaecat. Ea nisi adipisicing excepteur in nostrud esse tempor cillum nostrud. Cupidatat dolor laborum sint do quis. Esse est sit eiusmod quis aliqua exercitation consectetur et cillum non exercitation aliqua magna magna. Commodo sit est ullamco do mollit consectetur. Laborum laborum sint eu proident.

Description

This lecture covers the concepts of margin of error, standard error, nominal and effective coverage, and pivots in the context of confidence intervals. It explains how to construct confidence intervals for scalar parameters, using margins of error to quantify uncertainty and pivots to ensure distribution independence. The application of these concepts is demonstrated through examples involving Bernoulli models and Maximum Likelihood Estimators.

Instructor

culpa ea commodo anim

Elit eu do nulla laboris qui adipisicing cillum. Amet deserunt anim nisi quis esse exercitation amet do est duis Lorem ut deserunt. Qui anim irure sunt nulla irure occaecat id.

Official source

https://mediaspace.epfl.ch/media/0_4mkt8za1

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Related lectures (37)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.