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Everything about Multivariate statistics

Simultaneous observation and analysis of more than one outcome variable

Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable, i.e., multivariate random variables. Multivariate statistics concerns understanding the different aims and background of each of the different forms of multivariate analysis, and how they relate to each other. The practical application of multivariate statistics to a particular problem may involve several types of univariate and multivariate analyses in order to understand the relationships between variables and their relevance to the problem being studied. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Multivariate statisticsA 5-minute orientation
  2. Skim a recent paper: Multiple pollution sources unravelled by environmental forensics techniques and multivariate statisticsInfluential work since 2022
  3. Pick up a classic book: A first course in linear model theoryThe most-reprinted book on the subject
  4. Read the landmark paper: Descriptive statistics for multivariate distributionsCited 355 times
  5. Go sideways: Bivariate analysisA closely related topic
  6. Go sideways: List of statistics articlesA closely related topic

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🏆 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.

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