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Kobe University Repository : Kernel タイトル Title 多面断データの図示表現に関する研究(その2)(Graphical Representation of Multi Cross-sectional Date : PartII) 著者 Author(s) 磯貝, 恭史 掲載誌・巻号・ページ Citation 神戸大学大学院海事科学研究科紀要 = Review of the Faculty of Maritime Sciences, Kobe University,06:7-15 刊行日 Issue date 2009-07 資源タイプ Resource Type Departmental Bulletin Paper / 紀要論文 版区分 Resource Version publisher 権利 Rights DOI JaLCDOI 10.24546/81001459 URL http://www.lib.kobe-u.ac.jp/handle_kernel/81001459 PDF issue: 2021-06-09

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  • Kobe University Repository : Kernel

    タイトルTit le

    多面断データの図示表現に関する研究(その2)(GraphicalRepresentat ion of Mult i Cross-sect ional Date : Part II)

    著者Author(s) 磯貝, 恭史

    掲載誌・巻号・ページCitat ion

    神戸大学大学院海事科学研究科紀要 = Review of the Faculty ofMarit ime Sciences, Kobe University,06:7-15

    刊行日Issue date 2009-07

    資源タイプResource Type Departmental Bullet in Paper / 紀要論文

    版区分Resource Version publisher

    権利Rights

    DOI

    JaLCDOI 10.24546/81001459

    URL http://www.lib.kobe-u.ac.jp/handle_kernel/81001459

    PDF issue: 2021-06-09

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    Graphical Representation of Multi Cross-sectional Data: Part II

    Kobe University

    ����

    Takafumi ISOGAI

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    Abstract

    Three-way (or more generally multiway) data analysis has been introduced as the extension of

    two-way data analysis to higher-order datasets in Tucker [5]. There are a large number of varieties

    of three-way datasets. Especially, when two of three modes (or ways) in a three-way dataset

    describe n objects and p-dimensional observational characteristics, and the other mode describes g

    time samples, this n p g× × dataset X has a form of 3-dimensional array and is called “multi

    cross-sectional data”. Now we focus on 2-dimensional graphical methods for multi cross-sectional

    data to pursue behaviors of n objects in time. A multi cross-sectional dataset X is approximated in

    terms of variations of between (shortly, B) and within (shortly, W) groups specified by g time

    samples. Using the above-mentioned approximation for X , a 2-dimensional B-W scatter plot has

    been introduced in Isogai & Matsuura [1] to perform an exploratory data analysis for X . In this

    paper we propose a new type of B-W scatter plot, called a “directional” B-W scatter plot, to extract

    clear patterns with respect to behaviors of n objects in time.

    (Received March 28, 2009)

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