Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Hirofumi Wakaki"'
Publikováno v:
Intelligent Decision Technologies ISBN: 9789811559242
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In a generalized ridge (GR) regression, since a GR estimator (GRE) depends on ridge parameters, it is important to select those parameters appropriately. Ridge parameters selected by minimizing the generalized \(C_p\) (\(GC_p\)) criterion can be obta
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https://explore.openaire.eu/search/publication?articleId=doi_________::d6d7f084d0eeafb1c2ce2ff75835f4a0
https://doi.org/10.1007/978-981-15-5925-9_23
https://doi.org/10.1007/978-981-15-5925-9_23
Autor:
Hirofumi Wakaki, Ya. Fujikoshi
Publikováno v:
Theory of Probability & Its Applications. 62:157-172
Let $\lambda$ be the LR criterion for testing an additional information hypothesis on a subvector of $p$-variate random vector ${x}$ and a subvector of $q$-variate random vector ${y}$, based on a sample of size $N=n+1$. Using the fact that the null d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::184bb9e29021833569a02d13f07d9557
https://doi.org/10.1137/s0040585x97t98854x
https://doi.org/10.1137/s0040585x97t98854x
Autor:
Hirofumi Wakaki, Tomoyuki Nakagawa
Publikováno v:
JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 47:145-165
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::360afb4cf31b92e91ff6a50e054b069b
https://doi.org/10.14490/jjss.47.145
https://doi.org/10.14490/jjss.47.145
Autor:
Tomoyuki Nakagawa1 nakagawa.stat@gmail.com, Hirofumi Wakaki1
Publikováno v:
Journal of the Japan Statistical Society. 2017, Vol. 47 Issue 2, p145-165. 21p.
Autor:
Hirofumi Wakaki, Yasunori Fujikoshi
Publikováno v:
Teoriya Veroyatnostei i ee Primeneniya. 62:194-211
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39e70d471667766ddf72e3edb48e6108
https://doi.org/10.4213/tvp5098
https://doi.org/10.4213/tvp5098
Autor:
Yu Inatsu1, Hirofumi Wakaki1 d144576@hiroshima-u.ac.jp
Publikováno v:
Journal of the Japan Statistical Society. 2016, Vol. 46 Issue 1, p51-79. 29p.
Publikováno v:
Hiroshima Math. J. 47, no. 1 (2017), 43-62
In this paper we obtain a higher order asymptotic unbiased estimator for the expected probability of misclassification (EPMC) of the linear discriminant function when both the dimension and the sample size are large. Moreover, we evaluate the mean sq
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https://doi.org/10.32917/hmj/1492048847
https://doi.org/10.32917/hmj/1492048847
Publikováno v:
Scandinavian Journal of Statistics. 41:535-555
In real-data analysis, deciding the best subset of variables in regression models is an important problem. Akaike's information criterion (AIC) is often used in order to select variables in many fields. When the sample size is not so large, the AIC h
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https://explore.openaire.eu/search/publication?articleId=doi_________::8ae2b5aeb40721304b825281975e4ee9
https://doi.org/10.1111/sjos.12049
https://doi.org/10.1111/sjos.12049
Publikováno v:
JOURNAL OF THE JAPAN STATISTICAL SOCIETY. 43:57-78
Principal components analysis (PCA) is one method for reducing the dimension of the explanatory variables, although the principal components are derived by using all the explanatory variables. Several authors have proposed a modified PCA (MPCA), whic
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https://doi.org/10.14490/jjss.43.57
https://doi.org/10.14490/jjss.43.57
Autor:
Hirofumi Wakaki, Hiroaki Shimizu
Publikováno v:
Journal of Multivariate Analysis. 102(6):1080-1089
Let S be a pxp random matrix having a Wishart distribution W"p(n,n^-^1@S). For testing a general covariance structure @S=@S(@x), we consider a class of test statistics T"h=n@r"h(S,@S(@x@?)), where @r"h(@S"1,@S"2)=@?"i"="1^ph(@l"i) is a distance measu
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