⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

March 1, 1932Journal of the American Statistical Association

Graphic Comparisons by Bars, Squares, Circles, and Cubes

Frederick E. Croxton

View at Publisher

Ask AI

Bookmark

Share

Ask about this paper

Answers are grounded in this paper and cite their sources.

Ask your own question…

Abstract

(1932). Graphic Comparisons by Bars, Squares, Circles, and Cubes. Journal of the American Statistical Association: Vol. 27, No. 177, pp. 54-60.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Frederick E. Croxton (1932) studied this question.

synapsesocial.com/papers/6a1bc6b9c97d63156a5eeb19 https://doi.org/10.2307/2277880

View at Publisher

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 10 related papers. Consider them for comparative context:

1A Tail Likelihood Ratio Method for Large-scale Causal Mediation Tests in Epigenome-Wide StudiesJournal of the American Statistical Association · 2026
2POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment RegimesJournal of the American Statistical Association · 2026
3A Factor Model Based Time-Varying Auto-Align Overlapping ClusteringJournal of the American Statistical Association · 2026
4A Spatial Interference Approach to Account for Mobility in Air Pollution Studies with Multivariate Continuous TreatmentsJournal of the American Statistical Association · 2026
5Variable Selection for Additive Global Fréchet RegressionJournal of the American Statistical Association · 2026
6A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian LikelihoodsJournal of the American Statistical Association · 2026
7Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variablesJournal of the American Statistical Association · 2026
8Semi-supervised Clustering Through Representation Learning of High-dimensional Count DataJournal of the American Statistical Association · 2026
9Popularity Regression-Based Latent Space Model for Large-Scale Sparse Network AnalysisJournal of the American Statistical Association · 2026
10Online covariance estimation for stochastic gradient descent under Markovian samplingJournal of the American Statistical Association · 2026

JMore from Journal of the American Statistical Association

More from Columbia University

More from University of Missouri

More from University of the District of Columbia