Topic
Statistical graphics
About: Statistical graphics is a research topic. Over the lifetime, 479 publications have been published within this topic receiving 32993 citations. The topic is also known as: graphic representation in statistics & graphical techniques.
Papers published on a yearly basis
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Papers
Book•
1 Jan 1974
TL;DR: Applied Linear Statistical Models 5e as discussed by the authors is the leading authoritative text and reference on statistical modeling, which includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half.
Abstract: Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
12,455 citations
TL;DR: ggplot2 as mentioned in this paper is an implementation in R of The Grammar of Graphics, a systematic approach to the specification of statistical graphics that was introduced in a book previously reviewed in the Journal of Statistical Software by Cox (2007).
Abstract: ggplot2: Elegant Graphics for Data Analysis is a new addition to the UseR! series by Springer, probably the fastest expanding source of resources for computational statistics at the current moment. The books in this series are all linked with R, either presenting a new package developed by the own authors of the book or describing how to applying statistical techniques with the different packages available in R. ggplot2 is an implementation in R of The Grammar of Graphics (Wilkinson 2005) a systematic approach to the specification of statistical graphics that was introduced in a book previously reviewed in the Journal of Statistical Software by Cox (2007). This implementation has been developed by Hadley Wickham, who is also the author of the book reviewed here.
8,764 citations
4,305 citations
TL;DR: Box plots as mentioned in this paper display batches of data and use five values from a set of data: the extremes, the upper and lower hinges (quartiles), and the median, commonly used for exploratory data analysis and in preparing visual summaries.
Abstract: Box plots display batches of data. Five values from a set of data are conventionally used; the extremes, the upper and lower hinges (quartiles), and the median. Such plots are becoming a widely used tool in exploratory data analysis and in preparing visual summaries for statisticians and nonstatisticians alike. Three variants of the basic display, devised by the authors, are described. The first visually incorporates a measure of group size; the second incorporates an indication of rough significance of differences between medians; the third combines the features of the first two. These techniques are displayed by examples.
2,488 citations
[...]
2 May 1996
TL;DR: Graphical models are a powerful tool for modelling systems using graph theory and have gained significant traction in various scientific fields. The book provides a comprehensive overview of the theory and covers a wide range of topics, including Markov properties, log-linear and graphical models, covariance selection models, and graphical models with mixed discrete-continous variables.
Abstract: Abstract The idea of modelling systems using graph theory has its origin in several scientific areas: in statistical physics (the study of large particle systems), in genetics (studying inheritable properties of natural species), and in interactions in contingency tables. The use of graphical models in statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides the first comprehensive and authoritative account of the theory of graphical models and is written by a leading expert in the field. It contains the fundamental graph theory required and a thorough study of Markov properties associated with various type of graphs. The statistical theory of log-linear and graphical models for contingency tables, covariance selection models, and graphical models with mixed discrete-continous variables in developed detail. Special topics, such as the application of graphical models to probabilistic expert systems, are described briefly, and appendices give details of the multivarate normal distribution and of the theory of regular exponential families. The author has recently been awarded the RSS Guy Medal in Silver 1996 for his innovative contributions to statistical theory and practice, and especially for his work on graphical models.
2,138 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 5 |
| 2023 | 4 |
| 2022 | 16 |
| 2021 | 9 |
| 2020 | 8 |
| 2019 | 17 |