Hyodo, Masashi; Watanabe, Hiroki; Nakagawa, Shigekazu; Nakagawa, Tomoyuki Normalizing transformation of Dempster type statistic in high-dimensional settings. (English) Zbl 07753690 Commun. Stat., Theory Methods 52, No. 22, 8096-8113 (2023). MSC: 62H15 62F03 62F05 PDFBibTeX XMLCite \textit{M. Hyodo} et al., Commun. Stat., Theory Methods 52, No. 22, 8096--8113 (2023; Zbl 07753690) Full Text: DOI
Hyodo, Masashi; Nishiyama, Takahiro; Pavlenko, Tatjana A Behrens-Fisher problem for general factor models in high dimensions. (English) Zbl 1520.62065 J. Multivariate Anal. 195, Article ID 105162, 11 p. (2023). MSC: 62H15 62F03 62F05 62H25 62-08 PDFBibTeX XMLCite \textit{M. Hyodo} et al., J. Multivariate Anal. 195, Article ID 105162, 11 p. (2023; Zbl 1520.62065) Full Text: DOI
Watanabe, Hiroki; Hyodo, Masashi; Sugiyama, Takatoshi; Seo, Takashi Test for equality of standardized generalized variance with different dimensions under high-dimensional settings. (English) Zbl 1493.62076 Hiroshima Math. J. 52, No. 2, 217-233 (2022). MSC: 62E20 62H15 PDFBibTeX XMLCite \textit{H. Watanabe} et al., Hiroshima Math. J. 52, No. 2, 217--233 (2022; Zbl 1493.62076) Full Text: DOI
Hyodo, Masashi; Nishiyama, Takahiro Simultaneous testing of the mean vector and covariance matrix among \(k\) populations for high-dimensional data. (English) Zbl 07532143 Commun. Stat., Theory Methods 50, No. 3, 663-684 (2021). MSC: 62H15 62F03 62F05 62-XX PDFBibTeX XMLCite \textit{M. Hyodo} and \textit{T. Nishiyama}, Commun. Stat., Theory Methods 50, No. 3, 663--684 (2021; Zbl 07532143) Full Text: DOI
Hyodo, Masashi; Shutoh, Nobumichi Asymptotic power comparison of \(T^2\)-type test and likelihood ratio test for a mean vector based on two-step monotone missing data. (English) Zbl 1511.62117 Commun. Stat., Theory Methods 49, No. 17, 4270-4287 (2020). MSC: 62H15 62D10 62F05 PDFBibTeX XMLCite \textit{M. Hyodo} and \textit{N. Shutoh}, Commun. Stat., Theory Methods 49, No. 17, 4270--4287 (2020; Zbl 1511.62117) Full Text: DOI
Watanabe, Hiroki; Hyodo, Masashi; Nakagawa, Shigekazu Two-way MANOVA with unequal cell sizes and unequal cell covariance matrices in high-dimensional settings. (English) Zbl 1448.62078 J. Multivariate Anal. 179, Article ID 104625, 14 p. (2020). MSC: 62H12 62H15 62F12 PDFBibTeX XMLCite \textit{H. Watanabe} et al., J. Multivariate Anal. 179, Article ID 104625, 14 p. (2020; Zbl 1448.62078) Full Text: DOI
Hyodo, Masashi; Nishiyama, Takahiro; Pavlenko, Tatjana On error bounds for high-dimensional asymptotic distribution of \(L_2\)-type test statistic for equality of means. (English) Zbl 1459.62026 Stat. Probab. Lett. 157, Article ID 108637, 6 p. (2020). MSC: 62E20 62H10 62H15 PDFBibTeX XMLCite \textit{M. Hyodo} et al., Stat. Probab. Lett. 157, Article ID 108637, 6 p. (2020; Zbl 1459.62026) Full Text: DOI
Sugiyama, Takatoshi; Hyodo, Masashi; Watanabe, Hiroki; Tsukada, Shin-ichi; Seo, Takashi Test for equality of generalized variance in high-dimensional and large sample settings. (English) Zbl 1448.62083 SUT J. Math. 55, No. 2, 139-154 (2019). MSC: 62H15 62H12 62E20 62R07 PDFBibTeX XMLCite \textit{T. Sugiyama} et al., SUT J. Math. 55, No. 2, 139--154 (2019; Zbl 1448.62083)
Watanabe, Hiroki; Seo, Takashi; Hyodo, Masashi An estimator of misclassification probability for multi-class Euclidean distance classifier in high-dimensional data. (English) Zbl 1442.62123 SUT J. Math. 55, No. 1, 11-23 (2019). MSC: 62H12 62H30 PDFBibTeX XMLCite \textit{H. Watanabe} et al., SUT J. Math. 55, No. 1, 11--23 (2019; Zbl 1442.62123)
Watanabe, Hiroki; Hyodo, Masashi; Yamada, Yuki; Seo, Takashi Estimation of misclassification probability for a distance-based classifier in high-dimensional data. (English) Zbl 1431.62275 Hiroshima Math. J. 49, No. 2, 175-193 (2019). MSC: 62H30 62H12 62E20 PDFBibTeX XMLCite \textit{H. Watanabe} et al., Hiroshima Math. J. 49, No. 2, 175--193 (2019; Zbl 1431.62275) Full Text: DOI Euclid
Hyodo, Masashi; Onobuchi, Akihiro; Kurakami, Hiroyuki An approximate multivariate asymptotic expansion-based test for population bioequivalence. (English) Zbl 1432.62361 J. Stat. Plann. Inference 200, 74-86 (2019). MSC: 62P10 62H15 62F05 PDFBibTeX XMLCite \textit{M. Hyodo} et al., J. Stat. Plann. Inference 200, 74--86 (2019; Zbl 1432.62361) Full Text: DOI
Hyodo, Masashi; Nishiyama, Takahiro A simultaneous testing of the mean vector and the covariance matrix among two populations for high-dimensional data. (English) Zbl 1417.62148 Test 27, No. 3, 680-699 (2018). MSC: 62H15 62F05 62E20 PDFBibTeX XMLCite \textit{M. Hyodo} and \textit{T. Nishiyama}, Test 27, No. 3, 680--699 (2018; Zbl 1417.62148) Full Text: DOI
Hyodo, Masashi; Watanabe, Hiroki; Seo, Takashi On simultaneous confidence interval estimation for the difference of paired mean vectors in high-dimensional settings. (English) Zbl 1397.62203 J. Multivariate Anal. 168, 160-173 (2018). MSC: 62H15 62F05 PDFBibTeX XMLCite \textit{M. Hyodo} et al., J. Multivariate Anal. 168, 160--173 (2018; Zbl 1397.62203) Full Text: DOI
Shutoh, Nobumichi; Nishiyama, Takahiro; Hyodo, Masashi Bartlett correction to the likelihood ratio test for MCAR with two-step monotone sample. (English) Zbl 1528.62029 Stat. Neerl. 71, No. 3, 184-199 (2017). MSC: 62H15 62D10 62E20 PDFBibTeX XMLCite \textit{N. Shutoh} et al., Stat. Neerl. 71, No. 3, 184--199 (2017; Zbl 1528.62029) Full Text: DOI
Hyodo, Masashi Tests for the parallelism and flatness hypotheses of multi-group profile analysis for high-dimensional elliptical populations. (English) Zbl 1381.62114 J. Multivariate Anal. 162, 82-92 (2017). MSC: 62H15 62F05 PDFBibTeX XMLCite \textit{M. Hyodo}, J. Multivariate Anal. 162, 82--92 (2017; Zbl 1381.62114) Full Text: DOI Link
Hyodo, Masashi; Nishiyama, Takahiro A one-sample location test based on weighted averaging of two test statistics when the dimension and the sample size are large. (English) Zbl 1368.62150 Commun. Stat., Theory Methods 46, No. 7, 3526-3541 (2017). MSC: 62H15 62E20 PDFBibTeX XMLCite \textit{M. Hyodo} and \textit{T. Nishiyama}, Commun. Stat., Theory Methods 46, No. 7, 3526--3541 (2017; Zbl 1368.62150) Full Text: DOI arXiv
Yamada, Yuki; Hyodo, Masashi; Nishiyama, Takahiro Testing block-diagonal covariance structure for high-dimensional data under non-normality. (English) Zbl 1356.62072 J. Multivariate Anal. 155, 305-316 (2017). MSC: 62H15 62F05 PDFBibTeX XMLCite \textit{Y. Yamada} et al., J. Multivariate Anal. 155, 305--316 (2017; Zbl 1356.62072) Full Text: DOI
Hyodo, Masashi; Shutoh, Nobumichi; Seo, Takashi; Pavlenko, Tatjana Estimation of the covariance matrix with two-step monotone missing data. (English) Zbl 1341.62120 Commun. Stat., Theory Methods 45, No. 7, 1910-1922 (2016). MSC: 62H12 62F12 PDFBibTeX XMLCite \textit{M. Hyodo} et al., Commun. Stat., Theory Methods 45, No. 7, 1910--1922 (2016; Zbl 1341.62120) Full Text: DOI
Hyodo, Masashi; Mitani, Tomohiro; Himeno, Tetsuto; Seo, Takashi Approximate interval estimation for EPMC for improved linear discriminant rule under high dimensional frame work. (English) Zbl 1353.62051 SUT J. Math. 51, No. 2, 145-179 (2015). MSC: 62H12 62H30 PDFBibTeX XMLCite \textit{M. Hyodo} et al., SUT J. Math. 51, No. 2, 145--179 (2015; Zbl 1353.62051)
Watanabe, Hiroki; Hyodo, Masashi; Seo, Takashi; Pavlenko, Tatjana Asymptotic properties of the misclassification rates for Euclidean distance discriminant rule in high-dimensional data. (English) Zbl 1327.62383 J. Multivariate Anal. 140, 234-244 (2015). MSC: 62H30 62E20 62H10 62H12 PDFBibTeX XMLCite \textit{H. Watanabe} et al., J. Multivariate Anal. 140, 234--244 (2015; Zbl 1327.62383) Full Text: DOI arXiv
Nishiyama, Takahiro; Hyodo, Masashi; Seo, Takashi Recent developments of multivariate multiple comparisons among mean vectors. (English) Zbl 1321.62059 SUT J. Math. 50, No. 2, 247-270 (2014). MSC: 62H10 62H15 PDFBibTeX XMLCite \textit{T. Nishiyama} et al., SUT J. Math. 50, No. 2, 247--270 (2014; Zbl 1321.62059)
Hyodo, Masashi; Kubokawa, Tatsuya A variable selection criterion for linear discriminant rule and its optimality in high dimensional and large sample data. (English) Zbl 1278.62096 J. Multivariate Anal. 123, 364-379 (2014). MSC: 62H30 65C60 62H12 62E20 PDFBibTeX XMLCite \textit{M. Hyodo} and \textit{T. Kubokawa}, J. Multivariate Anal. 123, 364--379 (2014; Zbl 1278.62096) Full Text: DOI
Nishiyama, Takahiro; Hyodo, Masashi; Seo, Takashi; Pavlenko, Tatjana Testing linear hypotheses of mean vectors for high-dimension data with unequal covariance matrices. (English) Zbl 1279.62120 J. Stat. Plann. Inference 143, No. 11, 1898-1911 (2013). MSC: 62H15 62E20 65C05 PDFBibTeX XMLCite \textit{T. Nishiyama} et al., J. Stat. Plann. Inference 143, No. 11, 1898--1911 (2013; Zbl 1279.62120) Full Text: DOI
Kubokawa, Tatsuya; Hyodo, Masashi; Srivastava, Muni S. Asymptotic expansion and estimation of EPMC for linear classification rules in high dimension. (English) Zbl 1259.62054 J. Multivariate Anal. 115, 496-515 (2013). MSC: 62H30 62H12 62E20 PDFBibTeX XMLCite \textit{T. Kubokawa} et al., J. Multivariate Anal. 115, 496--515 (2013; Zbl 1259.62054) Full Text: DOI
Hyodo, Masashi; Yamada, Takayuki A modified linear discriminant analysis for high-dimensional data. (English) Zbl 1247.62154 Hiroshima Math. J. 42, No. 2, 209-231 (2012). MSC: 62H30 62H12 65C60 PDFBibTeX XMLCite \textit{M. Hyodo} and \textit{T. Yamada}, Hiroshima Math. J. 42, No. 2, 209--231 (2012; Zbl 1247.62154) Full Text: Euclid
Shutoh, Nobumichi; Hyodo, Masashi; Seo, Takashi An asymptotic approximation for EPMC in linear discriminant analysis based on two-step monotone missing samples. (English) Zbl 1327.62381 J. Multivariate Anal. 102, No. 2, 252-263 (2011). MSC: 62H30 62H12 PDFBibTeX XMLCite \textit{N. Shutoh} et al., J. Multivariate Anal. 102, No. 2, 252--263 (2011; Zbl 1327.62381) Full Text: DOI
Hyodo, Masashi; Yamada, Takayuki Asymptotic properties of the EPMC for modified linear discriminant analysis when sample size and dimension are both large. (English) Zbl 1188.62189 J. Stat. Plann. Inference 140, No. 9, 2739-2748 (2010). MSC: 62H30 62H10 62E20 65C60 PDFBibTeX XMLCite \textit{M. Hyodo} and \textit{T. Yamada}, J. Stat. Plann. Inference 140, No. 9, 2739--2748 (2010; Zbl 1188.62189) Full Text: DOI
Hyodo, Masashi Asymptotic approximation of EPMC for linear discriminant analysis using ridge type estimator in high-dimensional data with fewer observations. (English) Zbl 1193.62105 SUT J. Math. 45, No. 2, 119-135 (2009). MSC: 62H30 62E20 62H12 PDFBibTeX XMLCite \textit{M. Hyodo}, SUT J. Math. 45, No. 2, 119--135 (2009; Zbl 1193.62105)
Hyodo, Masashi; Yamada, Takayuki Asymptotic distribution of Studentized contribution ratio in high-dimensional principal component analysis. (English) Zbl 1160.62009 Commun. Stat., Simulation Comput. 38, No. 4, 905-917 (2009). MSC: 62E20 62H10 62H25 65C60 PDFBibTeX XMLCite \textit{M. Hyodo} and \textit{T. Yamada}, Commun. Stat., Simulation Comput. 38, No. 4, 905--917 (2009; Zbl 1160.62009) Full Text: DOI