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Your search keyword '"Graphical display"' showing total 6 results
Start Over Descriptor "Graphical display" Journal journal of the american statistical association
6 results on '"Graphical display"'

1. Some Applications of Radial Plots.

Author

Galbraith, Rex F.

Subjects
*ESTIMATION theory, *META-analysis, *STOCHASTIC processes, *ESTIMATES, *BAYES' estimation, *REGRESSION analysis, *POISSON integral formula, *PROBABILITY theory, *ERRORS
Abstract

A radial plot is a graphical display for comparing estimates that have differing precisions It is a scatter plot of standardized estimates against reciprocals of standard errors, possibly with respect to a transformed scale, designed so that the original estimates can be compared and interpreted The estimates may be means, regression coefficients, proportions, rates, odds ratios, random effects, or indeed any parameter estimates that merit comparison between individuals or groups This article illustrates some uses of radial plots by discussing a variety of data examples taken from the literature, The statistical application areas include interlaboratory trials, point process event rates, empirical Bayes estimation, modeling of counting data, analysis of overdispersed and underdispersed binomial and Poisson data, mixture modeling and meta-analysis. [ABSTRACT FROM AUTHOR]

Published
1994
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2. The Geometric Interpretation of Correspondence Analysis.

Author

Greenacre, Michael and Hastie, Trevor

Subjects
*CORRESPONDENCE analysis (Statistics), *GEOMETRIC probabilities, *MATRICES (Mathematics), *GRAPHIC methods, *MULTIVARIATE analysis, *PSYCHOMETRICS, *FACTOR analysis, *GEOMETRY
Abstract

Correspondence analysis is an exploratory multivariate technique that converts a data matrix into a particular type of graphical display in which the rows and columns are depicted as points. The method has a long and varied history and has appeared in different forms in the psychometric and ecological literature, among others. In this article we review the geometry of correspondence analysis and its geometric interpretation. We also discuss various extensions of correspondence analysis to multivariate categorical data (multiple correspondence analysis) and a variety of other data types. [ABSTRACT FROM AUTHOR]

Published
1987
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3. Mosaic Displays for Multi-Way Contingency Tables

Author

Michael Friendly

Subjects
Statistics and Probability, Contingency table, Partition (number theory), Log-linear model, Graphical display, Statistics, Probability and Uncertainty, Graphics, Studentized residual, Categorical variable, Algorithm, Correspondence analysis, Mathematics
Abstract

Mosaic displays represent the counts in a contingency table by tiles whose size is proportional to the cell count. This graphical display for categorical data generalizes readily to multi-way tables. This article discusses extensions of the mosaic display to highlight patterns of deviations from various models for categorical data. First, we introduce the use of color and shading to represent sign and magnitude of standardized residuals from a specified model. For unordered categorical variables, we show how the perception of patterns of association can be enhanced by reordering the categories. Second, we introduce sequential mosaics of marginal subtables, together with sequential models for these tables. For a class of sequential models of joint independence, the individual mosaics provide a graphic representation of a partition of the overall likelihood ratio G2 for complete independence in the full table into portions attributable to hypotheses about the marginal subtables.

Published
1994

4. On Graphical Procedures for Multiple Comparisons

Author

Gideon Weiss, Sergiu Hart, and Yosef Hochberg

Subjects
Statistics and Probability, If and only if, Simple (abstract algebra), Multiple comparisons problem, Multiple comparison procedure, Word error rate, Sample (statistics), Graphical display, Statistics, Probability and Uncertainty, Algorithm, Mathematics
Abstract

In a graphical procedure for comparing k treatment means in a one-way ANOVA, one displays uncertainty intervals around the sample means and judges any pair to be significantly different if and only if their uncertainty intervals do not overlap. A graphical procedure is a Multiple Comparison Procedure (MCP) if and only if it controls the experimentwise error rate. In this paper we consider some new graphical MCP's for the unbalanced one-way ANOVA design. These procedures are based on different approximations to the Tukey-Kramer (TK) procedure (e.g., Kramer 1956). As such, they constitute alternatives to Gabriel (1978) (and its modification by Andrews, Snee, and Sarner 1980), which is based on approximating a less efficient MCP (the GT2 of Hochberg 1974). Two of the four procedures considered here are based on best and simple upper bounds to all the confidence-interval lengths of the TK method and hence must be conservative. The other two procedures are based on approximations (here too we have the...

Published
1982

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