A class of nonparametric mode estimators

Результат исследования: Научные публикации в периодических изданияхстатья

Выдержка

A class of nonparametric mode estimators is proposed. While the widely applied half sample mode estimators use the diameter of a set as the “measure of concentration”, the proposed estimators use for it some types of “variance measures”. In some cases, the new estimators perform better than half sample mode and half range mode estimators. Strong consistency is proved for an estimator from the class.

Язык оригиналаанглийский
Число страниц14
ЖурналCommunications in Statistics: Simulation and Computation
DOI
СостояниеОпубликовано - 22 янв 2020

Отпечаток

Estimator
Diameter of a set
Concentration of Measure
Strong Consistency
Class
Range of data

Цитировать

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abstract = "A class of nonparametric mode estimators is proposed. While the widely applied half sample mode estimators use the diameter of a set as the “measure of concentration”, the proposed estimators use for it some types of “variance measures”. In some cases, the new estimators perform better than half sample mode and half range mode estimators. Strong consistency is proved for an estimator from the class.",
keywords = "Fraction-of-sample mode, Half sample mode, Nonparametric mode estimator, ROBUST ESTIMATORS, DENSITY-FUNCTION, MULTIVARIATE, CONVERGENCE, EFFICIENT ESTIMATION",
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year = "2020",
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A class of nonparametric mode estimators. / Ruzankin, Pavel S.

В: Communications in Statistics: Simulation and Computation, 22.01.2020.

Результат исследования: Научные публикации в периодических изданияхстатья

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KW - Half sample mode

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KW - ROBUST ESTIMATORS

KW - DENSITY-FUNCTION

KW - MULTIVARIATE

KW - CONVERGENCE

KW - EFFICIENT ESTIMATION

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