Cover Image

Outliers in regression.

Dr. Mine Cetinkaya-Rundel focuses on outliers within the context of linear regression, discussing how to identify various types of outliers as well as how to handle them.

Bibliographic Details
Other Authors:	Çetinkaya-Rundel, Mine (academic.)
Format:	Video
Language:	English
Language Notes:	Closed-captioned in English.
Published:	[Durham, North Carolina] : Duke Learning Innovation, 2016.
Series:	Linear regression and modeling ; 9.
Subjects:	Outliers (Statistics) Regression analysis. Observations aberrantes (Statistique) Analyse de régression.
Online Access:	Connect to this streaming video

Similar Items

Statistical Outliers and Related Topics.
Published: (2025)

Outliers in statistical data /
by: Barnett, Vic
Published: (1994)

Top tip : define your approach first.
Published: (2017)

Robust regression and outlier detection /
by: Rousseeuw, Peter J.
Published: (1987)

Robust regression and outlier detection /
by: Rousseeuw, Peter J.
Published: (2003)

Robust regression and outlier detection /
by: Rousseeuw, Peter J.
Published: (1987)

An introduction to univariate outliers.
Published: (2017)

Learn about Cook's Distance in Stata with data from the Global Health Observatory Data (2012) /
by: Reid, Abigail-Kate, et al.
Published: (2019)

Quantile regression /
by: Koenker, Roger, 1947-
Published: (2005)

Further remarks on robustness in the logistic regression model /
by: Carroll, Raymond J., et al.
Published: (1990)

Use of regression models.
Published: (2017)

Nonparametric regression and generalized linear models : a roughness penalty approach /
by: Green, P. J. (Peter J.)
Published: (1994)

Identification of outliers /
by: Hawkins, Douglas M.
Published: (1980)

Learn about Cook's Distance in SPSS with data from the Global Health Observatory (2015) /
by: Shi, Feng, active 2019
Published: (2019)

Outliers in statistical data /
by: Barnett, Vic
Published: (1984)

Outliers in statistical data /
by: Barnett, Vic
Published: (1978)

Regression /
by: Winter, Susan, active 2023
Published: (2023)

How to detect and handle outliers /
by: Iglewicz, Boris
Published: (1993)

Spatial regression analysis using Eigenvector spatial filtering /
by: Griffith, Daniel A.
Published: (2019)

Comparing logit and probit coefficients between nested models.
Published: (2024)

Regression analysis.
Published: (2022)

Multiple regression : introduction.
Published: (2016)

Linear regression : introduction.
Published: (2016)

Guide to multiple regression /
by: Challal, Samia
Published: (2025)

Fuzzy RDs.
Published: (2020)

Correlation and regression - Pearson.
Published: (2017)

Regression basics /
by: Kahane, Leo H.
Published: (2001)

Introduction to linear regression.
Published: (2019)

Introduction to regression analysis.
Published: (2020)

Review of regression analysis.
Published: (2020)

Regression with categorical explanatory variables.
Published: (2016)

Applications of linear regression algorithm.
Published: (2019)

Review of regression discontinuity design.
Published: (2020)

Introduction to regression discontinuity designs.
Published: (2020)

Introduction to regression model.
Published: (2017)

Local regression and likelihood /
by: Loader, Clive
Published: (1999)

Calculating parameters of linear regression model.
Published: (2019)

Understanding equation and formula of linear regression.
Published: (2019)

Linear regression : theory.
Published: (2018)

What does 'Y is regressed on X' mean?.
Published: (2019)