Nonparametric Estimation of Quantile-Based Cumulative Tsallis Information Measures
Abstract
In this paper, we study the nonparametric estimation of quantile-based cumulative Tsallis entropy under a complete sample case. The asymptotic properties of the proposed two nonparametric estimators are studied based on some regularity conditions. The performance and usefulness of the estimators are examined through simulated and real data sets.
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