Result: Statistics for a New Test of Discordance in Circular Data
Title:
Statistics for a New Test of Discordance in Circular Data
Authors:
Source:
Communications in statistics. Simulation and computation. 41(8-10):1882-1890
Publisher Information:
Colchester: Taylor & Francis, 2012.
Publication Year:
2012
Physical Description:
print, 1/4 p
Original Material:
INIST-CNRS
Subject Terms:
Mathematics, Mathématiques, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Mathematiques, Mathematics, Probabilités et statistiques, Probability and statistics, Théorie des probabilités et processus stochastiques, Probability theory and stochastic processes, Lois de probabilités, Distribution theory, Statistiques, Statistics, Analyse multivariable, Multivariate analysis, Inférence linéaire, régression, Linear inference, regression, Analyse numérique. Calcul scientifique, Numerical analysis. Scientific computation, Analyse numérique, Numerical analysis, Probabilités et statistiques numériques, Numerical methods in probability and statistics, Analyse discriminante, Discriminant analysis, Análisis discriminante, Analyse multivariable, Multivariate analysis, Análisis multivariable, Fonction répartition, Distribution function, Función distribución, Méthode statistique, Statistical method, Método estadístico, Observation aberrante, Outlier, Observación aberrante, Régression statistique, Statistical regression, Regresión estadística, Simulation numérique, Numerical simulation, Simulación numérica, Statistique test, Test statistic, Estadística test, 60E05, 62H30, 62Jxx, Classification automatique(statistiques), 62H11, Chord, Circular distance, Circular regression, von Mises distribution
Document Type:
Academic journal
Article
File Description:
text
Language:
English
Author Affiliations:
Institute of Mathematical Sciences, University of Malaya, Kuala Lumpur, Malaysia
Centre for Foundation Studies in Science, University of Malaya, Kuala Lumpur, Malaysia
Centre for Foundation Studies in Science, University of Malaya, Kuala Lumpur, Malaysia
ISSN:
0361-0918
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics
Accession Number:
edscal.26164030
Database:
PASCAL Archive
Further Information
This article considers the derivation of approximate distributions for two types of statistics that can be used in developing new tests of discordance in circular samples from the von Mises distribution. An alternative test of discordance is proposed based on the circular distance between sample points. The advantage of the test is that it allows users to detect possible outliers in both univariate and bivariate circular data. For illustration, the test is applied to two real circular data sets.