NDLI: Univariate and bivariate truncated von Mises distributions

Content Provider	Springer Nature Link
Author	Fernandez Gonzalez, Pablo Bielza, Concha Larrañaga, Pedro
Copyright Year	2017
Abstract	In this article we study the univariate and bivariate truncated von Mises distribution, as a generalization of the von Mises distribution. This implies the addition of two or four new truncation parameters in the univariate and, bivariate cases, respectively. The results include the definition, properties of the distribution and maximum likelihood estimators for the univariate and bivariate cases. Additionally, the analysis of the bivariate case shows how the conditional distribution is a truncated von Mises distribution, whereas the marginal is a generalization of the non-truncated marginal distribution. From the viewpoint of applications, we test the distribution with data regarding leaf inclination angles. This research aims to assert this probability distribution as a potential option for modeling or simulating any kind of phenomena where circular distributions are applicable.
Starting Page	171
Ending Page	180
Page Count	10
File Format	PDF
ISSN	21926352
Journal	Progress in Artificial Intelligence
Volume Number	6
Issue Number	2
e-ISSN	21926360
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2017-01-10
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Computational Intelligence Angular probability distributions Directional statistics Control, Robotics, Mechatronics von Mises distribution Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Artificial Intelligence (incl. Robotics) Language Translation and Linguistics Truncated probability distributions
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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