Research Articles with Review
Yamashita, N (2025) Identification of factor scores by regression with external variables in exploratory factor analysis, Psychometrika, LINK
Yamashita, N (2025) Simultaneous oblique rotation of parameter matrices in exploratory structural equation modeling. Japanese Journal of Statistics and Data Science, LINK
Yamashita, N (2024) Matrix decomposition approach for structural equation modeling as an alternative to covariance structure analysis and its theoretical properties, Structural Equation Modeling: A Multidisciplinary Journal, LINK
Yamashita, N (2023) Exploratory procedure for component-based structural equation modeling for simple structure by simultaneous rotation. Psychometrika, LINK
Yamashita, N (2023) Exploratory extended redundancy analysis using sparse estimation and oblique rotation of parameter matrices. Behaviormetrika, 50, 679-697 LINK
Yamashita, N (2023) Two-stage Procrustes rotation with sparse target matrix and least squares criterion with regularization and generalized weighting. Open Journal of Statistics, 13(2), 264-284 LINK
Yamashita, N (2022) Principal component analysis constrained by layered simple structures. Advances in Data Analysis and Classification. LINK
Mayekawa, S. & Yamashita, N (2020) Bayesian reduced rank multigroup regression analysis: A new model for multigroup data with hybrid parameter sharing. Behaviormetrika, 47, pp411-426, LINK.
Yamashita, N. & Adachi, K. (2019) A modified k-means procedure for obtaining cardinality-constrained centroid matrix. Journal of Classification, 37, pp509–525, LINK
Yamashita, N. & Adachi, K. (2019) Permutimin: Factor rotation to simple structure with permutation of variables. Multivariate Behavioral Research, 55(1), pp17-29, LINK
Yamashita, N. & Mayekawa, S. (2015) A new biplot procedure for joint classification of objects and variables by fuzzy c-means clustering. Advances in Data Analysis and Classification, 9(3), pp243-266. LINK
Yamashita, N. & Mayekawa, S. (2012) A new biplot procedure for joint classification of objects and variables with K-means clustering. Bulletin of Data Analysis of Japanese Classification Sociery, 2(1), pp33-51 (in Japanese). LINK
Yamashita, N. (2012) Canonical correlation analysis formulated as maximizing sum of squared correlation and rotation of structure matrix. The Japanese Journal of Behaviometrics, 39(1), pp1-9 (in Japanese). LINK
Book Chapter
Yamashita, N. (2019). Procrustes Penalty Function for Matching Matrices to Targets with Its Applications. In The Annual Meeting of the Psychometric Society (pp. 161-170). Springer, Cham. LINK
Yamashita, N., & Ogi, T. (2018). External Haptic Stimulus Biases Sensory Evaluation of Odor Impression. In Emotional Engineering, Vol. 6 (pp. 29-47). Springer, Cham. LINK
Yamashita, N., & Adachi, K. (2017). SPARK: A New Clustering Algorithm for Obtaining Sparse and Interpretable Centroids. In The Annual Meeting of the Psychometric Society (pp. 407-416). Springer, Cham. LINK
Reviewing
Bahaviormetrika
Journal of Classification
Communications in Statistics
Doctoral Thesis