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Journal of Nonparametric Statistics Volume 32, 2020 - Issue 3
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Articles

Kernel smoothed probability mass functions for ordered datatypes

Jeffrey S. Racinea Department of Economics and Graduate Program in Statistics, McMaster University, Hamilton, Ontario, CanadaCorrespondence[email protected]
,
Qi Lib Department of Economics, Texas A&M University, College Station, TX, USA
&
Karen X. Yanc School of Economics, Georgia Institute of Technology, Atlanta, GA, USA
Pages 563-586 | Received 25 Oct 2018, Accepted 12 Apr 2020, Published online: 12 May 2020

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Youssef Esstafa, Célestin C. Kokonendji & Sobom M. Somé. (2023) Asymptotic properties of the normalised discrete associated-kernel estimator for probability mass function. Journal of Nonparametric Statistics 35:2, pages 355-372.
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Articles from other publishers (3)

Tristan Senga Kiesse & Michael S. Corson. (2022) The utility of less-common statistical methods for analyzing agricultural systems: focus on kernel density estimation, copula modeling and extreme value theory. Behaviormetrika 50:1, pages 491-508.
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Ben O’Neill. (2022) Smallest covering regions and highest density regions for discrete distributions. Computational Statistics 37:3, pages 1229-1254.
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Vladimir Pastukhov. (2022) Stacked Grenander and rearrangement estimators of a discrete distribution. Electronic Journal of Statistics 16:2.
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