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Communications in Statistics - Theory and Methods Volume 45, 2016 - Issue 22
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Original Articles

Weighted log-normal kernel density estimation

Gaku IgarashiGraduate School of Economics and Business Administration, Hokkaido University, Sapporo, Hokkaido, JapanCorrespondence[email protected]
Pages 6670-6687 | Received 21 Apr 2014, Accepted 02 Sep 2014, Published online: 23 Aug 2016

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Sylia Chekkal, Karima Lagha & Nabil Zougab. (2023) Generalized Birnbaum–Saunders kernel for hazard rate function estimation. Communications in Statistics - Simulation and Computation 52:4, pages 1546-1561.
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S. Makhloufi, N. Zougab, Y. Ziane & S. Adjabi. (2021) A family of asymmetric kernels based on log-symmetric distributions. Communications in Statistics - Simulation and Computation 0:0, pages 1-18.
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Yoshihide Kakizawa. (2021) Recursive asymmetric kernel density estimation for nonnegative data. Journal of Nonparametric Statistics 33:2, pages 197-224.
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Gaku Igarashi & Yoshihide Kakizawa. (2020) Higher-order bias corrections for kernel type density estimators on the unit or semi-infinite interval. Journal of Nonparametric Statistics 32:3, pages 617-647.
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Elif Erçelik & Mustafa Nadar. (2020) Nonparametric density estimation based on beta prime kernel. Communications in Statistics - Theory and Methods 49:2, pages 325-342.
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Gaku Igarashi & Yoshihide Kakizawa. (2018) Limiting bias-reduced Amoroso kernel density estimators for non-negative data. Communications in Statistics - Theory and Methods 47:20, pages 4905-4937.
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Gery Geenens & Craig Wang. (2018) Local-Likelihood Transformation Kernel Density Estimation for Positive Random Variables. Journal of Computational and Graphical Statistics 27:4, pages 822-835.
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Gaku Igarashi & Yoshihide Kakizawa. (2018) Generalised gamma kernel density estimation for nonnegative data and its bias reduction. Journal of Nonparametric Statistics 30:3, pages 598-639.
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Articles from other publishers (14)

Ying Su, Jingna Pan, Haifei Wu, Shuang Sun, Zubing Zou, Jiaqi Li, Bingrong Pan & Honglu Zhu. (2022) Dynamic probability modeling of photovoltaic strings and its application in fault diagnosis. Energy Reports 8, pages 6270-6279.
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Yoshihide Kakizawa. (2022) Multivariate elliptical-based Birnbaum–Saunders kernel density estimation for nonnegative data. Journal of Multivariate Analysis 187, pages 104834.
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Frédéric Ouimet & Raimon Tolosana-Delgado. (2022) Asymptotic properties of Dirichlet kernel density estimators. Journal of Multivariate Analysis 187, pages 104832.
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Pierre Lafaye de Micheaux & Frédéric Ouimet. (2021) A Study of Seven Asymmetric Kernels for the Estimation of Cumulative Distribution Functions. Mathematics 9:20, pages 2605.
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Gery Geenens. (2020) Mellin–Meijer kernel density estimation on $${{\mathbb {R}}}^+$$. Annals of the Institute of Statistical Mathematics 73:5, pages 953-977.
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Yoshihide Kakizawa. (2021) A class of Birnbaum–Saunders type kernel density estimators for nonnegative data. Computational Statistics & Data Analysis 161, pages 107249.
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Yoshihide Kakizawa. (2020) Multivariate non-central Birnbaum–Saunders kernel density estimator for nonnegative data. Journal of Statistical Planning and Inference 209, pages 187-207.
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Gaku Igarashi & Yoshihide Kakizawa. (2020) Multiplicative bias correction for asymmetric kernel density estimators revisited. Computational Statistics & Data Analysis 141, pages 40-61.
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Hien D. Nguyen, Andrew T. Jones & Geoffrey J. McLachlan. 2019. Data Mining. Data Mining 269 280 .
Gaku Igarashi. (2018) Multivariate Density Estimation Using a Multivariate Weighted Log-Normal Kernel. Sankhya A 80:2, pages 247-266.
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Yoshihide Kakizawa. (2018) Nonparametric density estimation for nonnegative data, using symmetrical-based inverse and reciprocal inverse Gaussian kernels through dual transformation. Journal of Statistical Planning and Inference 193, pages 117-135.
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Mariusz Grządziel. (2018) On using nonparametric approaches for precipitation estimation. ITM Web of Conferences 23, pages 00013.
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Masayuki HirukawaMasayuki Hirukawa. 2018. Asymmetric Kernel Smoothing. Asymmetric Kernel Smoothing 1 15 .
Yoshihide Kakizawa & Gaku Igarashi. (2017) Inverse gamma kernel density estimation for nonnegative data. Journal of the Korean Statistical Society 46:2, pages 194-207.
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