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Original Articles

A Nonparametric Kernel Approach to Interval-Valued Data Analysis

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Pages 566-575 | Received 01 Jun 2013, Published online: 18 Nov 2015

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Read on this site (3)

Hyejeong Choi, Johan Lim, Xinlei Wang & Minjung Kwak. (2020) A self-consistent estimator for interval-valued data. Statistics 54:5, pages 1005-1029.
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Yuan Wei, Shanshan Wang & Huiwen Wang. (2017) Interval-valued data regression using partial linear model. Journal of Statistical Computation and Simulation 87:16, pages 3175-3194.
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Cheolwoo Park, Yongho Jeon & Kee-Hoon Kang. (2016) An exploratory data analysis in scale-space for interval-valued data. Journal of Applied Statistics 43:14, pages 2643-2660.
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Articles from other publishers (6)

Francisco de A.T. de Carvalho, Eufrásio de A. Lima Neto & Ullysses da N. Rosendo. (2021) Interval joint robust regression method. Neurocomputing 465, pages 265-288.
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Francisco de A.T. de Carvalho, Eufrásio de A. Lima Neto & Kassio C.F. da Silva. (2021) A clusterwise nonlinear regression algorithm for interval-valued data. Information Sciences 555, pages 357-385.
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Hyejeong Choi, Johan Lim, Donghyeon Yu & Minjung Kwak. (2020) Two-sample tests for interval-valued data. Journal of the Korean Statistical Society 50:1, pages 233-271.
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X. Zhang, B. Beranger & S. A. Sisson. (2019) Constructing likelihood functions for interval‐valued random variables. Scandinavian Journal of Statistics 47:1, pages 1-35.
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Eufrásio de A. Lima Neto & Francisco de A.T. de Carvalho. (2018) An exponential-type kernel robust regression model for interval-valued variables. Information Sciences 454-455, pages 419-442.
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Cheolwoo Park, Yongho Jeon & Kee-Hoon Kang. (2017) Discussion. International Statistical Review 85:1, pages 33-35.
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