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Dive into the research topics where Shin-ichi Matsuda is active.

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Featured researches published by Shin-ichi Matsuda.


Archive | 1998

Choice of Multiple Representative Signatures for On-line Signature Verification Using a Clustering Procedure

Isao Yoshimura; Mitsu Yoshimura; Shin-ichi Matsuda

The task of signature verification is to judge whether the writer of a signature is truly the declared person or not, by referring to a previously provided signature database. The verification is completed when the observed dissimilarity between the questioned signature and a set of signatures, which were previously written by the declared person and included in the database, is less than a given threshold. This paper proved, through a verification experiment using a signature database supplied by CADIX Co. Ltd., that the use of multiple representatives, which represent respective clusters constructed by a clustering procedure, is effective. According to the experiment, the resulting error rate decreased from about 6% to about 1% on average by increasing the number of representatives from one to three.


Communications in Statistics-theory and Methods | 2018

Closed testing procedures for all pairwise comparisons in a randomized block design

Taka-aki Shiraishi; Shin-ichi Matsuda

ABSTRACT We consider multiple comparison test procedures among treatment effects in a randomized block design. We propose closed testing procedures based on maximum values of some two-sample t test statistics and based on F test statistics. It is shown that the proposed procedures are more powerful than single-step procedures and the REGW (Ryan/Einot–Gabriel/Welsch)-type tests. Next, we consider the randomized block design under simple ordered restrictions of treatment effects. We propose closed testing procedures based on maximum values of two-sample one-sided t test statistics and based on Batholomew’s statistics for all pairwise comparisons of treatment effects. Although single-step multiple comparison procedures are utilized in general, the power of these procedures is low for a large number of groups. The closed testing procedures stated in the present article are more powerful than the single-step procedures. Simulation studies are performed under the null hypothesis and some alternative hypotheses. In this studies, the proposed procedures show a good performance.


Japanese Journal of Applied Statistics | 1990

Definition of Powers in Multiple Comparisons, and Features of Several Procedures Based on Them

Shin-ichi Matsuda; Yasushi Nagata


Japanese journal of biometrics | 2008

Introduction of FDR and Comparisons of Multiple Testing Procedures that Control It

Shin-ichi Matsuda


Japanese Journal of Applied Statistics | 2006

Multiple Comparison Procedures for Contingency Table and their Evaluation

Takanori Tanase; Shin-ichi Matsuda


Japanese Journal of Applied Statistics | 1990

A Robust Quadratic Discriminant Function Using a Shrinkage Estimator of Variance Matrix

Shin-ichi Matsuda; Takashi Fujimaoto; Isao Yoshimura


Japanese journal of biometrics | 2016

Multiple Comparison Test Procedures Based on X̅ 2 -Statistics for Comparing Several Treatments with a Control under a Simple Ordered Restriction

Taka-aki Shiraishi; Shin-ichi Matsuda


Japanese journal of biometrics | 2016

Closed Testing Procedures Based on x̅ 2-Statistics in Multi-Sample Models with Bernoulli Responses under Simple Ordered Restrictions

Taka-aki Shiraishi; Shin-ichi Matsuda


kansei Engineering International | 2006

MEASURING HUMAN ABILITY ON KANSEI BY SEMANTIC DIFFERENTIAL METHOD

Ken Nishina; Shinji Niwa; Shin-ichi Matsuda


Japanese Journal of Applied Statistics | 1994

An Improvement of the Preliminary Test of Multiple Comparisons for One-way Layout

Shin-ichi Matsuda

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Ken Nishina

Nagoya Institute of Technology

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