Yasushi Nagata

发表

Asymptotic Theory of Taguchi’s Natural Estimators of the Signal to Noise Ratio for Dynamic Robust Parameter Design

Koji Tsukuda, Yasushi Nagata, 2015 .

Several Properties of MT System and Improved Procedures

Yasushi Nagata, 2013 .

ON NORMAL APPROXIMATION TO THE DISTRIBUTION OF THE ESTIMATED PROCESS CAPABILITY INDEX _??_pk

Yasushi Nagata, Yasushi Nagata, 1995 .

How to Use Multiple Comparison Procedures

Yasushi Nagata, Yasushi Nagata, 1998 .

APPROXIMATION FORMULAS FOR THE LOWER CONFIDENCE LIMITS OF PROCESS CAPABILITY INDICES

Yasushi Nagata, Hidekazu Nagahata, Yasushi Nagata, 1994 .

Fixed-width sequential confidence interval for the mean of a gamma distribution

Yasushi Nagata, Yoshikazu Takada, Yasushi Nagata, 1995 .

Total Quality Science Vol.5, No.1

Yasushi Nagata, Takumi Saruhashi, Masato Ohkubo, 2019 .

Multivariate Control Chart with Exponentially Weighted Moving Log-Likelihood for Monitoring Process Mean and Variability

Yasushi Nagata, Masato Ohkubo, Yuma Ueno, 2018 .

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

Yasushi Nagata, Yasushi Nagata, Shin-ichi Matsuda, 1990 .

Total Quality Science Vol.4, No.2

Yuki Takezaki, Yasushi Nagata, 2019 .

グラフィカル・モデリングに基づくマハラノビス・タグチ法

Yasushi Nagata, Masato Ohkubo, 2017 .

Total Quality Science Vol.5, No.1

Yasushi Nagata, Takumi Saruhashi, Masato Ohkubo, 2019 .

AN INEQUALITY IN THE CONDITION FOR IMPROVING ON AN EQUAL-TAILS CONFIDENCE INTERVAL OF NORMAL VARIANCE

Yasushi Nagata, T. Inaba, 1994 .

UNBIASED VARIABLE SELECTION PROCEDURE IN REGRESSION MODELS

Yasushi Nagata, 1987 .

Application of VBGMM for pitch type classification: analysis of TrackMan's pitch tracking data

Toshimasa Yanai, Yasushi Nagata, Kazuhiro Umemura, 2020, Japanese Journal of Statistics and Data Science.

Validation of and improvement to cyclic designs

Yasushi Nagata, Yutaro Kaido, Yasushi Nagata, 2015 .

Imbalanced data classification procedure based on SMOTE

Yasushi Nagata, Masato Ohkubo, Daiki Gyoten, 2020, Total Quality Science.

Improvement to Cyclic designs , Kaido et al . Validation of and improvement to cyclic designs

Yasushi Nagata, Yutaro Kaido, 2015 .

MINIMAXITY AND INADMISSIBILITY OF THE MODEL SELECTION AND ESTIMATION PROCEDURE FOR THE MEAN OF A MULTIVARIATE NORMAL DISTRIBUTION

Yasushi Nagata, 1985 .

IMPROVEMENTS OF INTERVAL ESTIMATIONS FOR THE VARIANCE AND THE RATIO OF TWO VARIANCES

Yasushi Nagata, 1989 .

Anomaly Detection for Noisy Data with the Mahalanobis–Taguchi System

Yasushi Nagata, Masato Ohkubo, Yasushi Nagata, 2020 .

Regression analysis on high-dimensional, block diagonal structure data with focus on latent variables

Yasushi Nagata, Shinei Seki, 2018 .

Basic Concepts of Multiple Comparison Procedures

Yasushi Nagata, 2022, Ouyou toukeigaku.

Robust parameter design with covariates of multiple noise factors

Kensuke Goto, Hironao Sato, Masami Miyakawa, 2015 .

More Accurate Knowledge Search in Technological Development for Robust Parameter Design

Yasushi Nagata, Masato Ohkubo, K. Oyama, 2022, Quality Innovation Prosperity.

Conditional anomaly detection based on a latent class model

Yasushi Nagata, Masato Ohkubo, Yasushi Nagata, 2019, Total Quality Management & Business Excellence.

Study of model evaluation method and of selection method of tuning parameter in Lasso

Yasushi Nagata, Tatsuki Inoue, 2016 .

Anomaly detection in high-dimensional data with the Mahalanobis–Taguchi system

Yasushi Nagata, Masato Ohkubo, Yasushi Nagata, 2018, Total Quality Management & Business Excellence.

The neyman accuracy and the wolfowitz accuracy of the stein type confidence interval for the disturbance variance

Yasushi Nagata, 1996 .

Stein type confidence interval of the disturbance variance in a linear regression model with multivariate student-t distributed errors

Yasushi Nagata, 1997 .

The relationship between the improvement on the point estimation and the improvement on the interval estimation for the disturbance variance in a linear regression model

Yasushi Nagata, 1995 .