{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T01:31:39Z","timestamp":1726191099944},"publisher-location":"Berlin, Heidelberg","reference-count":9,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642147456"},{"type":"electronic","value":"9783642147463"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-14746-3_68","type":"book-chapter","created":{"date-parts":[[2010,10,13]],"date-time":"2010-10-13T11:55:53Z","timestamp":1286970953000},"page":"553-560","source":"Crossref","is-referenced-by-count":1,"title":["The Selection of the Shrinkage Region in Small Area Estimation"],"prefix":"10.1007","author":[{"given":"Cristina","family":"Rueda","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 A.","family":"Men\u00e9ndez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"2","key":"68_CR1","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1093\/biomet\/93.2.255","volume":"93","author":"R. Chambers","year":"2006","unstructured":"Chambers, R., Tzavidis, N.: M-quantile models for small area estimation. Biometrika\u00a093(2), 255\u2013268 (2006)","journal-title":"Biometrika"},{"issue":"3","key":"68_CR2","doi-asserted-by":"publisher","first-page":"1221","DOI":"10.1214\/07-AOS512","volume":"36","author":"S. Chatterjee","year":"2008","unstructured":"Chatterjee, S., Lahiri, P., Li, H.: Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models. Ann. Statist.\u00a036(3), 1221\u20131245 (2008)","journal-title":"Ann. Statist."},{"key":"68_CR3","doi-asserted-by":"publisher","first-page":"311","DOI":"10.2307\/2285814","volume":"70","author":"B. Efron","year":"1975","unstructured":"Efron, B., Morris, C.N.: Data analysis using Stein\u2019s estimator and its generalizations. J. Amer. Statistical Assoc.\u00a070, 311\u2013319 (1975)","journal-title":"J. Amer. Statistical Assoc."},{"key":"68_CR4","first-page":"341","volume":"74","author":"R.E. Fay","year":"1979","unstructured":"Fay, R.E., Herriot, R.A.: Estimates of income for small places: an application of James-Stein procedures to census data. J. Amer. Statistical Assoc.\u00a074, 341\u2013353 (1979)","journal-title":"J. Amer. Statistical Assoc."},{"issue":"2","key":"68_CR5","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1111\/j.1467-9868.2006.00541.x","volume":"68","author":"P. Hall","year":"2006","unstructured":"Hall, P., Maiti, T.: On parametric bootstrap methods for small area prediction. J. Roy. Statist. Soc. Ser. B\u00a068(2), 221\u2013238 (2006)","journal-title":"J. Roy. Statist. Soc. Ser. B"},{"key":"68_CR6","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1214\/074921707000000355","volume":"55","author":"E. Mammen","year":"2007","unstructured":"Mammen, E., Yu, K.: Additive isotone regression. IMS Lecture Notes\u2013Monograph Series Asymptotics: Particles, Processes and Inverse Problems\u00a055, 179\u2013195 (2007)","journal-title":"IMS Lecture Notes\u2013Monograph Series Asymptotics: Particles, Processes and Inverse Problems"},{"key":"68_CR7","doi-asserted-by":"publisher","DOI":"10.1002\/0471722189","volume-title":"Small Area Estimation","author":"J.N.K. Rao","year":"2003","unstructured":"Rao, J.N.K.: Small Area Estimation. Wiley, New York (2003)"},{"key":"68_CR8","volume-title":"Order Restricted Statistical Inference","author":"T. Robertson","year":"1988","unstructured":"Robertson, T., Wright, F.T., Dykstra, R.L.: Order Restricted Statistical Inference. Wiley, Chichester (1988)"},{"key":"68_CR9","unstructured":"Rueda, C., Men\u00e9ndez, J.A., G\u00f3mez, F.: Small area estimators based on restricted mixed models (submitted for publication, 2010) doi:10.1007\/s117489-010-0186-\u00a02"}],"container-title":["Advances in Intelligent and Soft Computing","Combining Soft Computing and Statistical Methods in Data Analysis"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-14746-3_68.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T12:37:11Z","timestamp":1619786231000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-14746-3_68"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642147456","9783642147463"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-14746-3_68","relation":{},"ISSN":["1867-5662","1867-5670"],"issn-type":[{"type":"print","value":"1867-5662"},{"type":"electronic","value":"1867-5670"}],"subject":[],"published":{"date-parts":[[2010]]}}}