Кл.слова (ненормированные):
confidence limits -- decomposition of initial data -- Freedman-Diaconis rule -- Heinhold-Gaede rule -- nonparametric estimation -- nonparametric statistics -- probability density function -- Scott's rule -- Probability -- Confidence limit -- Freedman-Diaconis rule -- Heinhold-Gaede rule -- Non-parametric estimations -- Non-parametric statistics -- Scott's rule -- Probability density function
Аннотация: A technique for the construction of confidence limits for the multi-dimensional probability density function is proposed and its efficiency as a function of the probabilistic characteristics of the procedure of decomposition of the domain of variation of the random variable is investigated. © 2015 IEEE.
Scopus
Держатели документа:
Siberian Branch of the Russian Academy of Sciences, Institute of Computer Modelling, Krasnoyarsk, Russian Federation
Ministry of Education and Science of the Russian Federation, Siberian State Aerospace University, Krasnoyarsk, Russian Federation
Доп.точки доступа:
Lapko, V.A.; Лапко, Василий Александрович; Лапко, Александр Васильевич