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Analyzing the fine structure of distributions

https://doi.org/10.1371/journal.pone.0238835
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Multivariate Density Estimation
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ggplot2
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Modern Applied Statistics with S
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Measuring heavy-tailedness of distributions
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Violin Plots: A Box Plot-Density Trace Synergism
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Heavy-Tailed Distributions: Properties and Tests
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On Bayesian Modeling of Fat Tails and Skewness
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Probability plotting methods for the analysis for the analysis of data
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The Stabilized Probability Plot
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Applied Smoothing Techniques for Data Analysis
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An Algorithm for Vector Quantizer Design
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A Reliable Data-Based Bandwidth Selection Method for Kernel Density Estimation
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Recent Econometric Modeling of Crime and Punishment
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A Constructive Representation of Univariate Skewed Distributions
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The Dip Test of Unimodality
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Bimodality in tropical water vapour
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Models of Income Distributions for Knowledge Discovery
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powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions
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Beanplot: A Boxplot Alternative for Visual Comparison of Distributions
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Exploratory Data Analysis.
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Transformation to Normality of the Null Distribution of g 1
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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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