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小樽商大 商 | 論文
- Supplement to the paper "Asymptotic expansions of the distributions of the chi-square statistic based on the asymptotically distribution-free theory in covariance structures"
- Supplement to Ogasawara's papers on "the ADF pivotal statistic", "mean and covariance structure analysis", and "maximal reliability"
- 7.項目反応理論におけるパラメータの推定量の分布の漸近展開(一般セッション 数学・統計学I)
- Errata and supplement to the paper "Higher-order asymptotic cumulants of Studentized estimators in covariance structures"
- モデルに基づく信頼性及び最大信頼性の漸近標本分布(一般セッション 多変量解析)
- A supplementary note on the paper "Asymptotic expansion and asymptotic robustness of the normal-theory estimators in the random regression model"
- Asymptotic expansions of the distributions of the least squares estimators in factor analysis and structural equation modeling
- Asymptotic expansion and asymptotic robustness of the normal-theory estimators in the random regression model
- A supplementary note on the paper Higher-order asymptotic standard error and asymptotic expansion in principal component analysis
- Asymptotic biases of least squares estimators in factor analysis and structural equation modeling under nonnormality and normality(心理IV, 第32回 日本行動計量学会大会発表一覧)
- Asymptotic biases in factor analysis and structural equation modeling(構造方程式モデル2)(第31回 日本行動計量学会大会発表一覧)
- S9-3 因子分析と成分分析のどちらがより安定しているか : 直積構造を持つある斜交解の解析的結果(特別セッション(S9) : 徹底討論「主成分分析versus因子分析」)(第30回日本行動計量学会大会発表一覧)
- G2-2 構造方程式モデルの適合指標の漸近分散について(一般セッション(G2) : SEM)(第30回日本行動計量学会大会発表一覧)
- Asymptotic biases in factor analysis and structural equation modeling
- A Supplementary Note on the Paper : Oblique Factors and Components with Independent Clusters
- 因子分析/構造方程式モデリングにおける最尤解と最小二乗解の漸近相関
- 資料 規準化直接オブリミン解の標準誤差
- Supplement to the pater ''Asymptotic expansions in multi-group analysis of moment structures with an application to linearized estimators'' and errata for the paper on the ADF chi-square statistic.
- E-4 Asymptotic Biases of the Unrotated/Rotated Solutions in Principal Component Analysis(Summary of the Reports at the 71th Annual Meeting)
- Asymptotic biases of the unrotated/rotated solutions in principal component analysis