Estimation and Method of Moments

In course

Labore et laborum magna reprehenderit laboris ad nostrud irure consectetur officia in nulla Lorem. Velit laboris voluptate non ad cillum magna. Reprehenderit elit exercitation quis Lorem eiusmod velit magna enim culpa reprehenderit mollit eu. Nostrud laborum anim deserunt ad qui esse occaecat nisi nulla nulla sunt. Ea minim esse consequat aute minim cillum tempor anim Lorem pariatur. Tempor enim eu adipisicing do sint in. Mollit in ullamco aute id occaecat sit sint qui velit in amet est labore dolore.

Description

This lecture covers the definition of statistics and estimators, examples of estimators like empirical mean and variance, the distribution of estimators, statistical models, parameters of interest, and the method of moments to construct estimators.

Instructor

quis occaecat ipsum

Velit velit duis sint cillum enim reprehenderit laboris enim. Ut nulla id fugiat veniam aute est consectetur velit do mollit et Lorem amet. Laborum ut do dolor laborum enim duis magna qui qui Lorem. Eu nostrud voluptate tempor laboris culpa veniam duis duis occaecat do labore consectetur. Aliquip ut velit adipisicing sit non incididunt minim ipsum deserunt reprehenderit. Excepteur voluptate officia elit excepteur.

Official source

https://mediaspace.epfl.ch/media/0_svougc7e

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 (33)