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  • Search: subject:"Phi-divergence test statistics"
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Year of publication
Subject
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Change-point 2 Multinomial sampling 2 Phi-divergence test statistics 2 General linear hypotheses 1 Logistic regression model 1 Minimum phi-divergence estimator 1 Phi-divergence test-statistics 1 Preliminary ϕ -divergence test estimator 1
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Online availability
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Undetermined 2 Free 1
Type of publication
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Article 2 Book / Working Paper 1
Language
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Undetermined 2 English 1
Author
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Pardo, L. 2 Batsidis, A. 1 Batsidis, Apostolos 1 Horváth, L. 1 Martín, N. 1 Martín, Nirian 1 Menéndez, M. 1 Pardo, Leandro 1 Pardo, M. 1 Zografos, K. 1 Zografos, Konstantinos 1
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Institution
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Departamento de Estadistica, Universidad Carlos III de Madrid 1
Published in...
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Journal of Multivariate Analysis 1 Statistical Papers / Springer 1 Statistics and Econometrics Working Papers 1
Source
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RePEc 3
Showing 1 - 3 of 3
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Change point for multinomial data using phi-divergence test statistics
Batsidis, Apostolos; Martín, Nirian; Pardo, Leandro; … - Departamento de Estadistica, Universidad Carlos III de … - 2011
We propose two families of maximally selected phi-divergence tests for studying change point locations when the unknown probability vectors of a sequence of multinomial random variables, with possibly different sizes, are piecewise constant. In addition, these test-statistics are valid to...
Persistent link: https://www.econbiz.de/10008788577
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Change-point detection in multinomial data using phi-divergence test statistics
Batsidis, A.; Horváth, L.; Martín, N.; Pardo, L.; … - In: Journal of Multivariate Analysis 118 (2013) C, pp. 53-66
We propose two families of maximally selected phi-divergence tests to detect a change in the probability vectors of a sequence of multinomial random variables with possibly different sizes. In addition, the proposed statistics can be used to estimate the location of the change-point. We derive...
Persistent link: https://www.econbiz.de/10011042090
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Preliminary phi-divergence test estimators for linear restrictions in a logistic regression model
Menéndez, M.; Pardo, L.; Pardo, M. - In: Statistical Papers 50 (2009) 2, pp. 277-300
Persistent link: https://www.econbiz.de/10005615797
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