Weighted Poisson and Semiparametric Kernel Models Applied to Parasite Growth

DOI10.1111/ANZS.12014zbMath1336.62029OpenAlexW2007710635MaRDI QIDQ2802821

Dominique Mizere, Tristan Senga Kiessé

Publication date: 27 April 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12014

zbMATH Keywords

count datasemiparametric estimationweighted Poisson distributiondiscrete associated kernel

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Point estimation (62F10)

Related Items (3)

Multiplicative bias correction for discrete kernels ⋮ Bayesian estimation of bandwidth in semiparametric kernel estimation of unknown probability mass and regression functions of count data ⋮ Comparison study to bandwidth selection in binomial kernel estimation using Bayesian approaches

Uses Software

• TRIANGG

Cites Work

• TRIANGG
• Statistical modelling of data of Aleurodicus on citrus fonits by Poisson laws
• Discrete associated kernels method and extensions
• Nonparametric density estimation with a parametric start
• Semiparametric estimation for count data through weighted distributions
• Connections of the Poisson weight function to overdispersion and underdispersion
• Probability Inequalities for Sums of Bounded Random Variables
• Discrete triangular distributions and non-parametric estimation for probability mass function

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