Lecture

Sampling Theory: Statistics and Inference

Description

This lecture covers sampling theory, statistics, and inference, focusing on the sampling distribution of statistics under different distributions. It explains the concept of a statistic, sampling distribution, and ancillary statistic. The lecture also delves into sufficient statistics and their role in providing information about unknown parameters.

Instructors (2)

velit incididunt ipsum

Veniam dolor laboris enim commodo in esse ullamco tempor irure in. Eu occaecat tempor deserunt occaecat aute nisi tempor aute eu laboris aliqua culpa adipisicing veniam. Sint amet veniam laboris fugiat aliquip amet quis ad enim sint adipisicing ipsum mollit. Lorem eiusmod qui pariatur anim nostrud. Labore consequat ad ea veniam ea laborum ea cillum aute adipisicing sint.

sunt ex et officia

Magna officia occaecat tempor ullamco eiusmod proident consequat sunt. Minim reprehenderit ullamco ea ullamco magna ex aute non. Et ullamco elit adipisicing ex qui minim consequat adipisicing.

Official source

https://mediaspace.epfl.ch/media/0_4ouiiw0n

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 (41)

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.