Кл.слова (ненормированные):
approximation properties -- Brooks–Carruthers rule -- Freedman–Diaconis rule -- Heinhold–Gaede rule -- nonparametric estimate -- number of sampling intervals -- probability density -- Scott rule -- Sturges rule -- Probability -- Approximation properties -- Non-parametric estimates -- Probability densities -- Sampling interval -- Scott rule -- Sturges rule -- Probability density function
Аннотация: A method is proposed for comparing the efficiencies of procedures for sampling the range of values of a random quantity when estimating the probability density. The criterion of efficiency is taken to be an asymptotic expression for the mean square deviation of a regression fit for the probability density. © 2015 Springer Science+Business Media New York
Scopus,
WOS
Держатели документа:
Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Siberian State Aerospace University, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Lapko, V. A.; Лапко, Василий Александрович; Лапко, Александр Васильевич