{"_buckets": {"deposit": "d90b7f8f-df5e-466a-af6a-32709cb53bb4"}, "_deposit": {"id": "6966", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "6966"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00006966"}, "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u8a00\u8a9e\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "WEIGHTED ESTIMATION OF DISCRETE CHOICE MODELS WITH DATA FROM COMPLEX ENDOGENOUS SAMPLING"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2001-01", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "\u2163-50", "bibliographicPageEnd": "111", "bibliographicPageStart": "103", "bibliographicVolumeNumber": "667", "bibliographic_titles": [{"bibliographic_title": "\u571f\u6728\u5b66\u4f1a\u8ad6\u6587\u96c6"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "\u672c\u8ad6\u6587\u3067\u306f\u5185\u751f\u62bd\u51fa\u6a19\u672c\u306e\u91cd\u307f\u4ed8\u3051\u7406\u8ad6\u3092\u62e1\u5f35\u3057\u3001\u52a0\u91cd\u5c64\u5225\u6a19\u672c\u62bd\u51fa\u6cd5\u3084\u591a\u6b21\u5143\u9078\u629e\u80a2\u5225\u6a19\u672c\u62bd\u51fa\u6cd5\u306b\u3088\u308b\u6a19\u672c\u3078\u306e\u9069\u7528\u3092\u8ad6\u3058\u308b\u3002\u3053\u308c\u3089\u306e\u8907\u96d1\u306a\u5185\u751f\u6a19\u672c\u62bd\u51fa\u6cd5\u306b\u3088\u308a\u5f97\u3089\u308c\u305f\u6a19\u672c\u306b\u9069\u7528\u53ef\u80fd\u306a\u4e00\u610f\u7684\u306a\u91cd\u307f\u304c\u5b58\u5728\u3059\u308b\u3053\u3068\u3092\u793a\u3057\u3001\u5f93\u6765\u4e00\u822c\u7684\u306b\u306a\u3055\u308c\u3066\u304d\u305f\u91cd\u307f\u4ed8\u3051\u6cd5\u306e\u554f\u984c\u70b9\u3092\u6307\u6458\u3059\u308b\u3068\u3068\u3082\u306b\u3001\u305d\u306e\u6539\u826f\u3092\u63d0\u6848\u3059\u308b\u3002\u3055\u3089\u306b\u3001\u91cd\u307f\u4ed8\u304d\u3068\u91cd\u307f\u7121\u3057\u3067\u96e2\u6563\u9078\u629e\u30e2\u30c7\u30eb\u3092\u63a8\u5b9a\u3057\u305f\u5834\u5408\u306e\u4fc2\u6570\u5024\u3068t-\u5024\u3092\u6bd4\u8f03\u3057\u3001\u975e\u5206\u6563\u884c\u5217\u3092\u9069\u5207\u306b\u63a8\u5b9a\u3059\u308b\u3053\u3068\u306e\u91cd\u8981\u6027\u3092\u793a\u3059\u3002The 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. 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