Results 11 to 20 of about 398,172 (288)
Significance, 2011 Abstract The obvious way to present information is in a graph. But not all graphs are created equal. A well-designed graph can make clear what an ill-thought-out one conceals. Jarad Niemi and Andrew Gelman present visualisations of a measles epidemic.
Jarad Niemi, Andrew Gelman
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Sketchy rendering for information visualization [PDF]
, 2012 We present and evaluate a framework for constructing sketchy style information visualizations that mimic data graphics drawn by hand. We provide an alternative renderer for the Processing graphics environment that redefines core drawing primitives ...
Boukhelifa, N. +5 more
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Graphical Methods in Statistical Analysis [PDF]
Annual Review of Public Health, 1987 The idea of graphical presentation of statistical data is a relatively recent development as compared with geometry , algebra, or even probability theory (18). The techniques of graphical presentation of data are still rapidly de veloping, as statistical theory opens new ways of thinking about data, and as using the capabilities of modem computers ...
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JASP: Graphical Statistical Software for Common Statistical Designs [PDF]
Journal of Statistical Software, 2019 This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source and differentiates itself from existing open-source solutions in two ways.
Love, Jonathon +15 more
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Visually Exploring Missing Values in Multivariable Data Using a Graphical User Interface
Journal of Statistical Software, 2015 Missing values are common in data, and usually require attention in order to conduct the statistical analysis. One of the first steps is to explore the structure of the missing values, and how missingness relates to the other collected variables.
Xiaoyue Cheng +2 more
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Opening up the Black Box of Sensor Processing Algorithms through New Visualizations
Informatics, 2016 Vehicles and platforms with multiple sensors connect people in multiple roles with different responsibilities to scenes of interest. For many of these human–sensor systems there are a variety of algorithms that transform, select, and filter the sensor ...
Alexander M. Morison, David D. Woods
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Publication bias: Graphical and statistical methods [PDF]
American Journal of Orthodontics and Dentofacial Orthopedics, 2021 Various statistical approaches and visual tools have been developed to detect, estimate, and evaluate the impact of publication bias in meta-analysis results. In this article, we present the most popular statistical methods and graphic tools to address publication bias using an example.
Loukia M, Spineli, Nikolaos, Pandis
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Graphical Mahonian Statistics on Words
The Electronic Journal of Combinatorics, 2018 Foata and Zeilberger defined the graphical major index, $\mathrm{maj}_U$, and the graphical inversion index, $\mathrm{inv}_U$, for words over the alphabet $\{1, 2, \dots, n\}$. These statistics are a generalization of the classical permutation statistics $\mathrm{maj}$ and $\mathrm{inv}$ indexed by directed graphs $U$. They showed that $\mathrm{maj}_U$
Grady, Amy, Poznanović, Svetlana
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Visualization methods for differential expression analysis
BMC Bioinformatics, 2019 Background Despite the availability of many ready-made testing software, reliable detection of differentially expressed genes in RNA-seq data is not a trivial task.
Lindsay Rutter +3 more
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Descriptive Statistics and Graphical Displays [PDF]
Circulation, 2006 Statistics is a broad mathematical discipline dealing with techniques for the collection, analysis, interpretation, and presentation of numerical data. Data are information used for reasoning, discussion, or calculation; data are the foundation of modern scientific inference.
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