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Everything about Yates analysis

In statistics, a Yates analysis is an approach to analyzing data obtained from a designed experiment where a factorial design has been used. Full- and fractional-factorial designs are common in designed experiments for engineering and scientific applications. In these designs, each factor is assigned two levels, typically called the low and high levels and referred to as "-" and "+". For computational purposes the factors are scaled so that the low level is assigned a value of -1 and the high level is assigned a value of +1. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Yates analysisA 5-minute orientation
  2. Skim a recent paper: Women’s Bodily Redemption in Richard Yates’ Revolutionary Road: An Analysis From the Perspectives of Body Narrative and Feminist JurisprudenceInfluential work since 2022
  3. Pick up a classic book: High performance options tradingThe most-reprinted book on the subject
  4. Read the landmark paper: The Computer Analysis of Factorial Experiments: In Memoriam-Frank YatesCited 11 times
  5. Go sideways: Factorial experimentA closely related topic
  6. Go sideways: Fractional factorial designA closely related topic

đź“– Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Yates' Order
  2. Output
  3. Example
  4. Parameter estimates as terms are added
  5. Model selection and validation
  6. Graphical presentation
  7. Related Techniques

🏆 Landmark papers (most cited)

🆕 Influential since 2022

đź“š Books worth reading

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đź”— Related topics