35 citations · 38 across the 6 of their papers we have counts for
6 papers
Integrated empirical measures and generalizations of classical goodness-of-fit statistics
Hsien-Kuei Hwang, Satoshi Kuriki
Based on -fold integrated empirical measures, we study three new classes of goodness-of-fits tests, generalizing Anderson-Darling, Cramér-von Mises, and Watson statistics, respe…
Expected Euler characteristic method for the largest eigenvalue: (Skew-)orthogonal polynomial approach
Satoshi Kuriki
The expected Euler characteristic (EEC) method is an integral-geometric method used to approximate the tail probability of the maximum of a random field on a manifold. Noting that…
Use of spurious correlation for multiplicity adjustment
Yoshiyuki Ninomiya, Satoshi Kuriki, Toshihiko Shiroishi +1
We consider one of the most basic multiple testing problems that compares expectations of multivariate data among several groups. As a test statistic, a conventional (approximate)…
MIMO Zero-Forcing Performance Evaluation Using the Holonomic Gradient Method
Constantin Siriteanu, Akimichi Takemura, Satoshi Kuriki +2
For multiple-input multiple-output (MIMO) spatial-multiplexing transmission, zero-forcing detection (ZF) is appealing because of its low complexity. Our recent MIMO ZF performance…
Distributions of the largest singular values of skew-symmetric random matrices and their applications to paired comparisons
Satoshi Kuriki
Let be a real skew-symmetric Gaussian random matrix whose upper triangular elements are independently distributed according to the standard normal distribution. We provide the…
Skewness and kurtosis as locally best invariant tests of normality
Akimichi Takemura, Muneya Matsui, Satoshi Kuriki
Consider testing normality against a one-parameter family of univariate distributions containing the normal distribution as the boundary, e.g., the family of -distributions or a…