@article{oai:nagoya.repo.nii.ac.jp:00006966,
 author = {北村, 隆一 and KITAMURA, Ryuichi and 酒井, 弘 and SAKAI, Hiroshi and 山本, 俊行 and YAMAMOTO, Toshiyuki},
 issue = {Ⅳ-50},
 journal = {土木学会論文集},
 month = {Jan},
 note = {本論文では内生抽出標本の重み付け理論を拡張し、加重層別標本抽出法や多次元選択肢別標本抽出法による標本への適用を論じる。これらの複雑な内生標本抽出法により得られた標本に適用可能な一意的な重みが存在することを示し、従来一般的になされてきた重み付け法の問題点を指摘するとともに、その改良を提案する。さらに、重み付きと重み無しで離散選択モデルを推定した場合の係数値とt-値を比較し、非分散行列を適切に推定することの重要性を示す。, The methodology for weighting endogenous samples is extended in this study and applied to a multi-dimensional choice-based sample. It is shown that a unified weight exists for samples obtained from complex endogenous sampling schemes. Problems with conventional weighting methods for samples from endogenous sampling, such as roadside surveys, are pointed out and an improved weighting scheme is proposed. Coefficient estimates of discrete choice models with and without weights are compared, and the importance of applying an appropriate covariance estimator is pointed out.},
 pages = {103--111},
 title = {複雑な内生抽出法に基づく標本への離散選択モデルの適用},
 volume = {667},
 year = {2001}
}