EXPLORATORY METHODS FOR ANALYSIS OF THE DATA IN BEHAVIORAL SCIENCE
スポンサーリンク
概要
- 論文の詳細を見る
The number of published studies on Exploratory Data Analysis(EDA)has increased at a considerable rate, during the past two decades. This article provides explanatory and bibliographic informations of this area, with reviews of research trends within and across the following categories of research: description of distributions; re-expression; comparison of multiple data sets; resistant smoothing; wandering schematic plot; resistant line; resistant two-way analysis. Our discussions in the present article proceed mainly by comparing the techniques in EDA with the traditional methods used in general. The bibliographies are by no means exhaustive, but they should be enough in order to understand the general features of EDA.
- 日本行動計量学会の論文
日本行動計量学会 | 論文
- 2. Bayesian Generalized Bradley-Terry Model using RJMCMC
- 予測変数を伴う展開型項目反応モデル(一般セッション IRT)
- 刺激が複数の要因の影響下にあるときの尺度構成法 : Bradley-Terryモデルを用いて(セッションN-11(MK202) 一般セッション 心理2)
- プログラミング演習支援のためのコンパイルエラー分析(e-learning・e-testing)
- 4.問題解決力を涵養する統計教育支援教材の研究開発(特別セッション 問題解決力を育む統計教育の展開)