A class of Birnbaum-Saunders type kernel density estimators for nonnegative data
A class of Birnbaum-Saunders type kernel density estimators for nonnegative data
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一类非负数据的 Birnbaum-Saunders 型核密度估计器
DOI:
10.1016/j.csda.2021.107249
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发表时间:
2021
影响因子:
1.8
通讯作者:
Yoshihide Kakizawa
中科院分区:
文献类型:
--
作者:
川口 雅也;藤原 洋志;山本 博章;Yoshihide Kakizawa
Nonparametric density estimation using a class of deformed skew Birnbaum–Saunder (BS) type kernels is suggested for nonnegative data. A remarkable feature of new skew BS type kernel density estimators lies in its general formulation via asymmetry parameter as well as density generator. Mean integrated squared errors of the proposed estimators are investigated, together with strong consistency and asymptotic normality. Simulation studies and applications to real data sets are presented.
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影响因子:
0.8
作者:
S. Kotz;Donatella Vicari
通讯作者:
Donatella Vicari
DOI:
10.5023/jappstat.19.163
发表时间:
1990
期刊:
Japanese Journal of Applied Statistics
影响因子:
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作者:
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通讯作者:
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DOI:
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发表时间:
2016
期刊:
Communications in Statistics - Theory and Methods
影响因子:
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作者:
Gaku Igarashi
通讯作者:
Gaku Igarashi
影响因子:
1.3
作者:
Ramesh C. Gupta;Rameshwar D. Gupta
通讯作者:
Rameshwar D. Gupta
DOI:
10.14490/jjss.33.95
发表时间:
2003-06
期刊:
Journal of the Japan Statistical Society. Japanese issue
影响因子:
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作者:
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通讯作者:
T. Kawamura;K. Iwase