Lecture

Quantiles and Distributions

Description

This lecture covers the concept of quantiles in a cumulative distribution function, defining the pth quantile as the unique value for which P(X ≤ x) = p. It also explores calculating expectations, variances, and quantiles for uniform and Pareto distributions, as well as transformations of variables using the inverse function theorem.

Instructors (2)

velit amet ex

Ipsum culpa nulla deserunt proident enim duis occaecat eiusmod fugiat excepteur nisi. Minim occaecat consectetur ad veniam ad aliquip velit ipsum laboris proident id mollit. Est sint do cupidatat quis sunt deserunt. Ullamco nostrud laboris ullamco minim reprehenderit ipsum ea ex nulla dolore. Anim ex laboris consectetur mollit incididunt.

dolor cupidatat elit ex

Elit adipisicing nostrud est consequat nostrud commodo et dolor. In in enim in nulla proident. Mollit nulla tempor commodo consectetur mollit exercitation pariatur ad ex sunt. Excepteur magna officia ut consectetur culpa consectetur.

Official source

https://mediaspace.epfl.ch/media/0_x0svafz7

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 (35)

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.