| Outliers in official statistics K Wada Japanese Journal of Statistics and Data Science 3 (2), 669-691, 2020 | 43 | 2020 |
| 統計実務におけるレンジチェックのための外れ値検出方法 / A Univariate Outlier Detection Manual for Tabulating Statistical Survey 野呂竜夫， 和田かず美 統計研究彙報 / Research Memoir of Official Statistics, 41-54, 2015 | 11* | 2015 |
| Detection of multivariate outliers: Modified Stahel-Donoho estimators K Wada Research Memoir of Official Statistics, Statistical Research and Training …, 2010 | 9 | 2010 |
| A Supervised Multiclass Classifier for an Autocoding System. T Yukako, W Kazumi, M Kawano Romanian Statistical Review, 2017 | 8 | 2017 |
| Supervised multiclass classifier for autocoding based on partition coefficient Y Toko, K Wada, S Iijima, M Sato-Ilic International Conference on Intelligent Decision Technologies, 54-64, 2018 | 7 | 2018 |
| Comparison of multivariate outlier detection methods for nearly elliptical distributions K Wada, M Kawano, H Tsubaki Austrian Journal of Statistics 49 (2), 1-17, 2020 | 6 | 2020 |
| Parallel computation of modified Stahel-Donoho estimators for multivariate outlier detection K Wada, H Tsubaki 2013 International Conference on Cloud Computing and Big Data, 304-311, 2013 | 5 | 2013 |
| 機械学習による自動格付システムの開発 / A supervised multiclass classifier using machine learning algorithm for autocoding T Shimono, K Wada, Y Toko 統計研究彙報 / Research Memoir of Official Statistics 75, 41-60, 2018 | 4* | 2018 |
| 多変量外れ値の検出~ 繰返し加重最小二乗 (IRLS) 法による欠測値の補定方法~ / Detection of Multivariate Outliers : Regression Imputation by the Iteratively Reweighted Least Squares 和田かず美 統計研究彙報 / Research Memoir of Official Statistics, 23-52, 2012 | 4* | 2012 |
| 多変量外れ値の検出~ MSD 法とその改良手法について~ / Detection of multivariate outliers: Modified Stahel-Donoho estimators 和田かず美 統計研究彙報 / Research Memoir of Official Statistics, 89-157, 2010 | 4* | 2010 |
| Robust estimation for a generalised ratio model K Wada, K Sakashita, H Tsubaki Austrian Journal of Statistics 50 (1), 74-87, 2021 | 2 | 2021 |
| Generalized robust ratio estimator for imputation K Wada, K Sakashita Methods 6 (9), 813-827, 2017 | 2 | 2017 |
| A Supervised Multiclass Classifier as an Autocoding System for the Family Income and Expenditure Survey Y Toko, K Wada, S Yui, M Sato-Ilic Advanced Studies in Classification and Data Science, 513-524, 2020 | 1 | 2020 |
| ミクロデータ分析のための演習用教材の作成方法~ 一般用ミクロデータ詳細品目版及び擬似ミクロデータによる事例~ 河野真理子， 和田かず美 統計研究彙報= Research memoir of the statistics, 61-80, 2018 | 1 | 2018 |
| Comparison of multivariate outlier detection methods for nearly elliptically distributed data K Wada, M Kawano, H Tsubaki 6th International Conference of uRos (Use of R in Official Statistics) 2018, 2018 | 1 | 2018 |
| Development and application of a simple machine learning algorithm for multiclass classifications Y Toko, T Shimono, K Wada Proceedings of New Techniques and Technologies for Statistics (NTTS2017), 13-17, 2017 | 1 | 2017 |
| R によるデータクリーニングの方法 和田かず美 統計/「統計」 編集委員会 編 74 (4), 14-22, 2023 | | 2023 |
| ロバスト回帰推定へのウェイト関数や残差尺度の影響について / Consideration on the Influence of Weight Functions and the Scale 和田かず美， 野呂竜夫 統計研究彙報 / Research memoir of offical statistics, 101-113, 2019 | | 2019 |
| 教育用標準データ (SSDSE) を中心とした統計教育支援への枠組み 山下雅代， 和田かず美， 高橋雅夫 横幹連合コンファレンス予稿集 第 10 回横幹連合コンファレンス, E-5-3, 2019 | | 2019 |
| ロバスト回帰を利用した乗率の調整 和田 かず美椿 広計 計算機統計学 31 (2), 110-119, 2018 | | 2018 |
Toshiyuki ShimonoThe Institute of Mathematical Statistics (visiting researcher)Verified email at 05.alumni.u-tokyo.ac.jp
