Testing \(k\)-monotonicity of a discrete distribution. Application to the estimation of the number of classes in a population
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Publication:1663112
DOI10.1016/j.csda.2018.02.006zbMath1469.62068arXiv1708.08676OpenAlexW2963296238MaRDI QIDQ1663112
Publication date: 21 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1708.08676
goodness-of-fit testmodel estimationdiscrete \(k\)-monotone distributionestimation of the number of classes
Related Items (3)
Completely monotone distributions: mixing, approximation and estimation of number of species ⋮ Multiple monotonicity of discrete distributions: the case of the Poisson model ⋮ Least squares estimation of a completely monotone pmf: from analysis to statistics
Uses Software
Cites Work
- On Multiply Monotone Distributions, Continuous or Discrete, with Applications
- Convex extrema for nonincreasing discrete distributions: effects of convexity constraints
- Estimation of a discrete probability under constraint of \(k\)-monotonicity
- On asymptotics of the discrete convex LSE of a p.m.f.
- Least-squares estimation of a convex discrete distribution
- Testing convexity of a discrete distribution
- Nonparametric estimation of species richness using discrete \(k\)-monotone distributions
- Estimation of a discrete monotone distribution
- Marshall lemma in discrete convex estimation
- Testing monotonicity via local least concave majorants
- Estimation of a function under shape restrictions. Applications to reliability
- Nonparametric Estimation under Shape Constraints
- Maximum likelihood estimation of a unimodal probability mass function
- Asymptotics of the Discrete Log-Concave Maximum Likelihood Estimator and Related Applications
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