Good–Turing frequency estimation in a finite population

DOI10.1002/bimj.201300168zbMath1310.62115OpenAlexW1811584561WikidataQ51012823 ScholiaQ51012823MaRDI QIDQ5247916

Wen-Han Hwang, Tsung-Jen Shen, Chih-Wei Lin

Publication date: 27 April 2015

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201300168

zbMATH Keywords

frequency estimationsample coveragefinite populationShannon indexGood-Turingnumber-of-classes estimation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Pattern recognition, speech recognition (68T10) Ecology (92D40) Statistical aspects of information-theoretic topics (62B10)

Related Items

On the Turing estimator in capture-recapture count data under the geometric distribution

Uses Software

• zipfR

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Asymptotic normality of a nonparametric estimator of sample coverage
• A normal limit law for a nonparametric estimator of the coverage of a random sample
• From the species problem to a general coverage problem via a new interpretation
• A new estimator for the number of species in a population
• Always Good Turing: Asymptotically Optimal Probability Estimation
• Estimating the Number of Classes via Sample Coverage
• Turing’s anticipation of empirical bayes in connection with the cryptanalysis of the naval enigma^*
• Estimating the Number of Classes in a Finite Population
• Nonparametric Lower Bounds for Species Richness and Shared Species Richness under Sampling without Replacement
• Estimating Population Size for Capture-Recapture Data When Capture Probabilities Vary by Time and Individual Animal
• Strictly Proper Scoring Rules, Prediction, and Estimation
• An Estimator of Number of Species from Quadrat Sampling
• On the Estimation of the Number of Classes in a Population
• THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS