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Circular data
Author(s) -
Lee Alan
Publication year - 2010
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.98
Subject(s) - range (aeronautics) , series (stratigraphy) , statistics , computer science , linear regression , data mining , mathematics , engineering , paleontology , aerospace engineering , biology
The special nature of circular data means that conventional methods suitable for the analysis of linear data do not apply. In this article, we survey a range of methods that have been developed over the last 50 years to handle the special characteristics of data consisting of angular measurements. We discuss summary statistics and graphical methods, methods for the analysis of single and multiple samples of circular data, circular correlation, regression methods, and time series. We discuss the standard probability models on which these analyses are based, and give several examples of the application of these methods. A reasonably comprehensive bibliography is provided. © 2010 John Wiley & Sons, Inc. This article is categorized under: Data: Types and Structure > Traditional Statistical Data