Lecture

Factorial design II

In course

Qui non elit voluptate minim incididunt cupidatat incididunt enim minim non pariatur minim culpa deserunt. Irure occaecat velit ex sint cillum aliqua nulla qui minim consequat labore ullamco. Dolor quis est esse Lorem mollit anim. Id non cupidatat esse amet amet minim. Eu ad tempor consectetur veniam consequat aliquip elit ullamco. Irure do elit est non sint est in velit et.

Description

This lecture covers the visualization and selection of effects in a 2N Full Factorial Design, focusing on the Normal plot method to identify significant factors. The instructor explains the reasoning behind the Normal plot, the Cumulative Normal Distribution, and the Half-normal plot, providing insights into interpreting the results and selecting coefficients. Practical examples are used to illustrate the concepts.

Instructor

aliquip in amet id

Consectetur in dolore ullamco aliqua incididunt elit. Nostrud deserunt fugiat deserunt duis. Laboris elit excepteur consectetur commodo ad ex duis nisi adipisicing. Magna aute nulla occaecat id adipisicing deserunt dolore excepteur nostrud duis. Nisi ad incididunt commodo tempor aute elit pariatur ea nostrud. Aute id labore laboris excepteur ipsum laborum officia fugiat ut deserunt eiusmod dolor nisi. Tempor commodo irure cupidatat eu.

Official source

https://mediaspace.epfl.ch/media/0_obef0lju

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

Related lectures (38)

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.