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On a discrete symmetric optimal associated kernel for estimating count data distributions

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  • Senga Kiessé, Tristan
  • Durrieu, Gilles

Abstract

The nonparametric estimator using discrete kernels is one competing alternative to the frequency estimator. We investigate a discrete symmetric “optimal” kernel. Its properties are established and studied by simulations. An application to real count data is given.

Suggested Citation

  • Senga Kiessé, Tristan & Durrieu, Gilles, 2024. "On a discrete symmetric optimal associated kernel for estimating count data distributions," Statistics & Probability Letters, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:stapro:v:208:y:2024:i:c:s0167715224000476
    DOI: 10.1016/j.spl.2024.110078
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    References listed on IDEAS

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    4. T. Senga Kiessé & Etienne Rivot & Christophe Jaeger & Joël Aubin, 2022. "Bayesian inference in based-kernel regression: comparison of count data of condition factor of fish in pond systems," Journal of Applied Statistics, Taylor & Francis Journals, vol. 49(3), pages 676-693, February.
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    Full references (including those not matched with items on IDEAS)

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