{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T12:34:56Z","timestamp":1783341296424,"version":"3.54.6"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2000,9,1]],"date-time":"2000-09-01T00:00:00Z","timestamp":967766400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2000,9,1]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>We propose a unified approach to the estimation of regression parameters under double-sampling designs, in which a primary sample consisting of data on the rough or proxy measures for the response and\/or explanatory variables as well as a validation subsample consisting of data on the exact measurements are available. We assume that the validation sample is a simple random subsample from the primary sample. Our proposal utilizes a specific parametric model to extract the partial information contained in the primary sample. The resulting estimator is consistent even if such a model is misspecified, and it achieves higher asymptotic efficiency than the estimator based only on the validation data. Specific cases are discussed to illustrate the application of the estimator proposed.<\/jats:p>","DOI":"10.1111\/1467-9868.00243","type":"journal-article","created":{"date-parts":[[2003,3,12]],"date-time":"2003-03-12T19:36:30Z","timestamp":1047497790000},"page":"449-460","source":"Crossref","is-referenced-by-count":61,"title":["A Unified Approach to Regression Analysis Under Double-Sampling Designs"],"prefix":"10.1093","volume":"62","author":[{"given":"Yi-Hau","family":"Chen","sequence":"first","affiliation":[{"name":"National Taiwan Normal University , Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hung","family":"Chen","sequence":"additional","affiliation":[{"name":"National Taiwan University , Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2002,1,6]]},"container-title":["Journal of the Royal Statistical Society Series B: Statistical Methodology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2F1467-9868.00243","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/academic.oup.com\/jrsssb\/article-pdf\/62\/3\/449\/49589879\/jrsssb_62_3_449.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jrsssb\/article-pdf\/62\/3\/449\/49589879\/jrsssb_62_3_449.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,22]],"date-time":"2023-03-22T06:59:17Z","timestamp":1679468357000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jrsssb\/article\/62\/3\/449\/7083278"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2000,9,1]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2002,1,6]]},"published-print":{"date-parts":[[2000,9,1]]}},"URL":"https:\/\/doi.org\/10.1111\/1467-9868.00243","relation":{},"ISSN":["1369-7412","1467-9868"],"issn-type":[{"value":"1369-7412","type":"print"},{"value":"1467-9868","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2000,9]]},"published":{"date-parts":[[2000,9,1]]}}}