行動計量学
Online ISSN : 1880-4705
Print ISSN : 0385-5481
ISSN-L : 0385-5481
19 巻 , 1 号
選択された号の論文の8件中1~8を表示しています
  • 柳井 晴夫
    1992 年 19 巻 1 号 p. 1-2
    発行日: 1992/03/31
    公開日: 2010/06/28
    ジャーナル フリー
  • 田中 豊
    1992 年 19 巻 1 号 p. 3-17
    発行日: 1992/03/31
    公開日: 2010/06/28
    ジャーナル フリー
    The present paper discusses principles and methods of sensitivity analysis in multivariate methods such as principal component analysis and correspondence analysis, which are formulated as eigenvalue problems, and in various methods of exploratory factor analysis, which containeigenvalue problems in their determinating equations.Major mathematical tools are influence function introduced by Hampel(1974)and perturbation theory of eigenvalue problems.Theoretical influence functions, empirical influence functions and deleted empirical influence functions are used for detecting influential observations in those multivariate methods. Numerical examples are shown for illustration.
  • 藤越 康祝
    1992 年 19 巻 1 号 p. 18-28
    発行日: 1992/03/31
    公開日: 2010/06/28
    ジャーナル フリー
    The purpose of this paper is to review the problem of evaluating whether a given set of variables is redundant, in the presence of the rest variables. The redundancy problem is mainly discussed in discriminant analysis, canonical correlation analysis and principal component analysis. We will give some equivalent formulations for redundancy of a variable subset, which are appropriate for intutive interpretaion, inferential structure and mathematical treatment, respectively. The LR test and the AIC criterion for redundancy of a variable subset are also given. We give a brief discussion for the redundancy problem in other multivariate models and some topics related to the redundancy problem.
  • 高根 芳雄
    1992 年 19 巻 1 号 p. 29-39
    発行日: 1992/03/31
    公開日: 2010/06/28
    ジャーナル フリー
    Contrained principal component analysis(CPCA)was proposed by Takane and Shibayama(1991)for structural analysis of multivariate data. In this method the data are first decomposed into several components according to external information. The decomposed submatrices are then subjected to principal component analysis(PCA)to explore possible structures within the submatrices. The method thus combines two major conventional multivariate analysis techniques, multiple regression analysis and PCA, in a unified framework. This paper illustrates the basic model, computational methods, various uses and extensions of CPCA. An illustrative example is given, and relative merits and demerits of CPCA are discussed in relation to the analysis of covariance structure(ACOVS)approach.
  • 木下 冨雄
    1992 年 19 巻 1 号 p. 40-48
    発行日: 1992/03/31
    公開日: 2010/06/28
    ジャーナル フリー
    In the last decade, the field of multivariate analysis has shown remarkable development. However, some of the method could not satisfy users' needs for getting a tough and better handling tool. The purpose of this article is to make clear the contents of users' needs and communicate them to makers and developers for their information. 82 subjects(mostly social psychologists)were asked by questionnaire method what kinds of dissatisfaction they experienced in using multivariate analyses. The questionnaire considered the10methods: factor analysis, principal component analysis, canonical correlation analysis, multiple regression analysis, analysis of covariance, discriminant analysis, cluster analysis, theory of quantification, LISREL, and MDS. Users reported wanting methods which are:(1)less mathematically sophisticated than tough and stable, (2)able to analyze a formation and change of interacting processes, (3)not restricted by excessive mathematical assumptions, (4)supported by systems which easily select the best method out of a complex program package. The users also wanted to know(5)the limitations of each application rather than the usefulness of the method, and(6)criteria for selecting the most suitable method for the data.
  • 金 明哲, 徳田 尚之, 村上 征勝, 田中 栄一
    1992 年 19 巻 1 号 p. 49-65
    発行日: 1992/03/31
    公開日: 2010/06/28
    ジャーナル フリー
    中国語の音声認識の機械処理を進める上で,中国語の計量的な性質を把握することは不可欠である.本論文ではSuen(1986)が中国語の高頻度単語として提唱している6,321語を用いて,中国語の音声認識を行う上で必要となるその音声学的性質について以下の項目にわたる計量分析を試みた.(1)声母,韻母,音素,声調の出現頻度(2)音節,音素を単位とした単語長 (3)音素を単位としたエントロピー,1次条件付きエントロピーおよび2次条件付きエントロピー (4)声母,韻母,音素を単位とした近距離単語数および声調,品詞が近距離単語数に与える影響 (5)声母,韻母,音素を単位とした置換対.その結果,例えば,声調や品詞情報が既知の場合でも一漢字単語では音素を単位としたレーベンシュタイン距離1の単語数は1単語あたり10.38語にものぼり,機械的な音声認識において単語単位での誤り訂正は極めて難しいが,二漢字単語では同じレーベンシュタイン距離1単語数は声調や品詞情報を考慮しなくとも1単語あたり平均約3語で,声調,品詞情報が既知であると1単語あたり0.26語まで減少するため,声調,品詞情報などを有効に利用することにより単語単位の誤り訂正が十分可能であると考えられるなど,今後中国語の音声認識などの機械処理を進める上で有益な幾つかの結果を得た.
  • 久保 武士, 赤平 昌文
    1992 年 19 巻 1 号 p. 66-74
    発行日: 1992/03/31
    公開日: 2010/06/28
    ジャーナル フリー
    The incidence of habitual aborters and the abortion rates of their next untreated pregnancy are difficult to estimate because the habitual aborters(those who have aborted more than three times successively)rarely continue their pregnancy without being treated. This information is indispensable to obstetricians who treat the patients with a new treatment and evaluate its efficacy. The method of moments and the maximum likelihood method are used to estimate these parameters based on a simple model about the habitual abortions. The abortion rates of the third and fourth pregnancy of habitual aborters with three consecutive abortions were0.306and0.313respectively according to thetwo-causes group model, which are smaller than the observed rates.The abortion rate of the fifth pregnancy was 0.314according to the two-auses group model and0.472according to the three-causes group model.
  • 丘本 正, Masashi OKAMOTO
    1992 年 19 巻 1 号 p. 75-82
    発行日: 1992/03/31
    公開日: 2010/06/28
    ジャーナル フリー
    数量化法第3類について提出されたOtsu(1990)の1次元構造データを2つの母数をもつデータ族に一般化する.次に2次元構造をもつ人工データを提出する.四角型と三角型の2つを考えるとき,ともに第1軸は2次元構造の長さを表し,第2次元である幅は第2軸以降に現れる.
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