Everything About ___
Live briefing

Everything about Variance inflation factor

Statistical measure in mathematical model

In statistics, the variance inflation factor (VIF) is the ratio (quotient) of the variance of a parameter estimate when fitting a full model that includes other parameters to the variance of the parameter estimate if the model is fit with only the parameter on its own. The VIF provides an index that measures how much the variance of an estimated regression coefficient is increased because of collinearity. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Variance inflation factorA 5-minute orientation
  2. Skim a recent paper: A Redefined Variance Inflation Factor: Overcoming the Limitations of the Variance Inflation FactorInfluential work since 2022
  3. Pick up a classic book: CIMA revision cardsThe most-reprinted book on the subject
  4. Read the landmark paper: A Caution Regarding Rules of Thumb for Variance Inflation FactorsCited 9,763 times
  5. Go sideways: Principal component regressionA closely related topic
  6. Go sideways: Leverage (statistics)A closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics