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Statements

Subject Item
dbr:Functional_boxplot
rdf:type
yago:WikicatStatisticalChartsAndDiagrams yago:Communication100033020 dbo:Software yago:Abstraction100002137 yago:VisualCommunication106873252 yago:Chart106999802
rdfs:label
Functional boxplot
rdfs:comment
In statistical graphics, the functional boxplot is an informative exploratory tool that has been proposed for visualizing functional data. Analogous to the classical boxplot, the descriptive statistics of a functional boxplot are: the envelope of the 50% central region, the median curve and the maximum non-outlying envelope.
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dbr:Interquartile_range dbr:Bagplot dbr:Functional_data_analysis dbr:MATLAB dbr:Python_(programming_language) dbr:R_(programming_language) dbr:Box_plot dbr:Descriptive_statistics dbc:Statistical_charts_and_diagrams dbr:Statistical_graphics dbr:Median dbr:Spatiotemporal_database dbr:Statsmodels
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In statistical graphics, the functional boxplot is an informative exploratory tool that has been proposed for visualizing functional data. Analogous to the classical boxplot, the descriptive statistics of a functional boxplot are: the envelope of the 50% central region, the median curve and the maximum non-outlying envelope. To construct a functional boxplot, data ordering is the first step. In functional data analysis, each observation is a real function, therefore, different from the classical boxplot where data are simply ordered from the smallest sample value to the largest, in a functional boxplot, functional data, e.g. curves or images, are ordered by a notion of band depth or a modified band depth. It allows for ordering functional data from the center outwards and, thus, introduces a measure to define functional quantiles and the centrality or outlyingness of an observation. Having the ranks of functional data, the functional boxplot is a natural extension of the classical boxplot.
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