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Histogram
Author(s) -
Scott David W.
Publication year - 2009
Publication title -
wiley interdisciplinary reviews: computational statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 38
eISSN - 1939-0068
pISSN - 1939-5108
DOI - 10.1002/wics.59
Subject(s) - histogram , bin , function (biology) , mathematics , computer science , statistical analysis , probability density function , algorithm , artificial intelligence , statistics , image (mathematics) , evolutionary biology , biology
Histogram is one of the most important graphical objects in statistical practice. In addition, the histogram provides a consistent estimate of any density function with very few assumptions. Construction of a density histogram with arbitrary mesh is described. Asymptotic theory of optimal histograms is used to provide practical rules for choosing a bin width with real data. Cross‐validation is shown to provide useful estimates of both the bin width and the bin origin. Examples are displayed using data from Sammy Sosa's best year for hitting home runs. Copyright © 2009 John Wiley & Sons, Inc. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Density Estimation