Abstract
Introduction / John Fox and J. Scott Long -- Graphical perception / Ian Spence and Stephan Lewandowsky -- Describing univariate distributions / John Fox -- A survey of smoothing techniques / Colin Goodall -- Finding transformations for regression using the ACE algorithm / Richard D. De Veaux -- Geometry of multiple regression and interactive 3-D Graphics / Georges Monette -- Regression diagnostics : an expository treatment of outliers and influential cases / Kenneth A. Bollen and Robert W. Jackman -- A primer on robust regression / Richard A. Berk -- An introduction to bootstrap methods : examples and ideas / Robert Stine -- The analysis of social science data with missing values / Roderick J.A. Little and Donald B. Rubin -- Selection bias in linear regression, logit and probit models / Jeffrey A. Dubin and Douglas Rivers.
Cite
CITATION STYLE
Cleveland, W. S., & McGill, R. (2015). Graphical Perception. Theory, Experimentation, and Application to the Development of Graphical Methods, 1–25. Retrieved from papers2://publication/uuid/826B97FB-7835-4C2D-A729-C25F9F9BE64D
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