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Aki Ishii

Observed name: Ishii, Aki
ORCID: 0000-0002-6560-4919
Observed ORCID: 0000-0002-6560-4919
OpenAlex ID: A5086220072
Equality tests of high-dimensional covariance matrices under the strongly spiked eigenvalue model
2019 · Aki Ishii, Kazuyoshi Yata, et al. · Journal of Statistical Planning and Inference · 22
Asymptotic properties of the first principal component and equality tests of covariance matrices in high-dimension, low-sample-size context
2015 · Aki Ishii, Kazuyoshi Yata, et al. · Journal of Statistical Planning and Inference · 19
Hypothesis tests for high-dimensional covariance structures
2020 · Aki Ishii, Kazuyoshi Yata, et al. · Annals of the Institute of Statistical Mathematics · 18
Inference on high-dimensional mean vectors under the strongly spiked eigenvalue model
2018 · Aki Ishii, Kazuyoshi Yata, et al. · Japanese Journal of Statistics and Data Science · 9
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Asymptotic Distribution of the Largest Eigenvalue via Geometric Representations of High-Dimension, Low-Sample-Size Data
2014 · Aki Ishii, Kazuyoshi Yata, et al. · Sri Lankan Journal of Applied Statistics · 8
A two-sample test for high-dimension, low-sample-size data under the strongly spiked eigenvalue model
2017 · Aki Ishii · Hiroshima Mathematical Journal · 7
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High-dimensional Statistical Analysis and Its Application to an ALMA Map of NGC 253
2024 · Tsutomu T. Takeuchi, Kazuyoshi Yata, et al. · The Astrophysical Journal Supplement Series · 5
Geometric classifiers for high-dimensional noisy data
2021 · Aki Ishii, Kazuyoshi Yata, et al. · Journal of Multivariate Analysis · 5
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A High-Dimensional Two-Sample Test for Non-Gaussian Data under a Strongly Spiked Eigenvalue Model
2017 · Aki Ishii · JOURNAL OF THE JAPAN STATISTICAL SOCIETY · 5
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A two-dimensional index for marginal homogeneity in ordinal square contingency tables
2021 · Shuji Ando, Tomohiro Noguchi, et al. · SUT Journal of Mathematics · 4
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Measure for Departure From Cumulative Partial Symmetry for Square Contingency Tables With Ordered Categories
2019 · Yusuke Saigusa, Mitsuhiro Takami, et al. · Journal of Statistics Advances in Theory and Applications · 4
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Geometric Mean Type Measure of Marginal Homogeneity for Square Contingency Tables with Ordered Categories
2020 · Tomoyuki Nakagawa, Toshiki Takei, et al. · Journal of Mathematics and Statistics · 3
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A Generalized Two-Dimensional Index to Measure the Degree of Deviation from Double Symmetry in Square Contingency Tables
2021 · Shuji Ando, Hikaru Hoshi, et al. · Symmetry · 2
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Measure of Departure From Local Symmetry for Square Contingency Tables
2019 · Yusuke Saigusa, Mitsuhiro Takami, et al. · International Journal of Statistics and Probability · 2
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A Quadratic Classifier for High-Dimension, Low-Sample-Size Data Under the Strongly Spiked Eigenvalue Model
2019 · Aki Ishii, Kazuyoshi Yata, et al. · Springer proceedings in mathematics & statistics · 2
High Dimensional Statistical Analysis and its Application to ALMA Map of NGC 253
2022 · Takeuchi, Tsutomu T., Yata, Kazuyoshi, et al. · arXiv (Cornell University) · 1
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Two-Dimensional Index of Departure from the Symmetry Model for Square Contingency Tables with Nominal Categories
2021 · Tomotaka Momozaki, Tomoyuki Nakagawa, et al. · Symmetry · 1
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Measure of departure from cumulative local symmetry for square contingency tables having ordered categories
2020 · Yusuke Saigusa, Tomomasa Takada, et al. · Biometrical Letters · 1
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A classifier under the strongly spiked eigenvalue model in high-dimension, low-sample-size context
2020 · Aki Ishii · Communication in Statistics- Theory and Methods · 1
High-dimensional Two-sample Test Procedures under the Strongly Spiked Eigenvalue Model
2020 · Aki Ishii, Kazuyoshi Yata, et al. · Ouyou toukeigaku · 1
Statistical hypothesis testing for high-dimension, low-sample-size data
2026 · Makoto Aoshima, Aki Ishii, et al. · Sugaku Expositions
Correlation tests for high-dimensional data under the strongly spiked eigenvalue model
2026 · Yumu Iwana, Aki Ishii, et al. · Japanese Journal of Statistics and Data Science
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強スパイク固有値モデルにおける高次元相関行列の検定 (確率モデルと統計的推測)
2024 · Iwana, Yumu, Yata, Kazuyoshi, et al. · Institutional Repositories DataBase (IRDB)
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Measure of departure from marginal point-symmetry for multi-way contingency tables
2022 · Ken Saito, Aki Ishii, et al. · SUT Journal of Mathematics
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Measures of Departure from Local Marginal Homogeneity for Square Contingency Tables
2022 · Ken Saito, Nozomi Takakubo, et al. · Symmetry
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Works count: 36
Citation count: 120
H-index: 6
I10-index: 3
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