◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Friendly

4 papers hereh-index 325.6k citations132 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME4

identity via Semantic Scholar / OpenAlex

activity
20082018
most citedElliptical Insights: Understanding Statistical Methods through Elliptical Geometry

165 citations · 353 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2018★ 1 cited

Visualizing Tests for Equality of Covariance Matrices

Michael Friendly, Matthew Sigal

This paper explores a variety of topics related to the question of testing the equality of covariance matrices in multivariate linear models, particularly in the MANOVA setting. Th…

stat.ME2013★ 165 cited

Elliptical Insights: Understanding Statistical Methods through Elliptical Geometry

Michael Friendly, Georges Monette, John Fox

Visual insights into a wide variety of statistical methods, for both didactic and data analytic purposes, can often be achieved through geometric diagrams and geometrically based s…

stat.ME2009★ 112 cited

The Golden Age of Statistical Graphics

Michael Friendly

Statistical graphics and data visualization have long histories, but their modern forms began only in the early 1800s. Between roughly 1850 and 1900 (±10), an explosive growth…

stat.ME2008★ 75 cited

A.-M. Guerry's Moral Statistics of France: Challenges for Multivariable Spatial Analysis

Michael Friendly

André-Michel Guerry's (1833) Essai sur la Statistique Morale de la France was one of the foundation studies of modern social science. Guerry assembled data on crimes, suicides, lit…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.