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Applied Economics Letters Volume 6, 1999 - Issue 6
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Original Articles

Discrete Poisson kernel density estimation-with an application to wildcat coal strikes

LAWRENCE C. MARSH
&
KAJAL MUKHOPADHYAY
Pages 393-396 | Published online: 06 Oct 2010

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Read on this site (2)

C. C. Kokonendji, T. Senga Kiesse & S. S. Zocchi. (2007) Discrete triangular distributions and non-parametric estimation for probability mass function. Journal of Nonparametric Statistics 19:6-8, pages 241-254.
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Kajal Mukhopadhyay & Lawrence C. Marsh. (2006) An approach to nonparametric smoothing techniques for regressions with discrete data. Applied Economics 38:3, pages 301-305.
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Articles from other publishers (4)

Alan Huang, Lucas Sippel & Thomas Fung. (2021) Consistent second-order discrete kernel smoothing using dispersed Conway–Maxwell–Poisson kernels. Computational Statistics 37:2, pages 551-563.
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Javaria Ahmad Khan & Atif Akbar. (2019) Empirical performance of nonparametric regression over LRM and IGRM addressing influential observations. Journal of Chemometrics 33:7.
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Chew-Seng Chee. (2017) A mixture model-based nonparametric approach to estimating a count distribution. Computational Statistics & Data Analysis 109, pages 34-44.
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Célestin C. Kokonendji & Tristan Senga Kiessé. (2011) Discrete associated kernels method and extensions. Statistical Methodology 8:6, pages 497-516.
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