Linear Models, Time Series and Outliers. 2. Outliers in Linear Models.

Abstract

The following topics are discussed: Inferences about the parameters of a linear model when there is the possibility of outliers; Inference about a single mean; Examination of Darwin's data; Weights W(r) and classical rejection criteria; Inferences about the shift parameter delta; Example - Venus data.

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1975
Accession Number
ADA027786

Entities

People

  • Bovas Abraham
  • George E. P. Box

Organizations

  • University of Wisconsin–Madison

Tags

Fields of Study

  • Mathematics

Readers

  • Computer Vision.
  • Phased Array Antenna Design.
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms