{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T06:09:25Z","timestamp":1738217365022,"version":"3.34.0"},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540782391"},{"type":"electronic","value":"9783540782469"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"DOI":"10.1007\/978-3-540-78246-9_14","type":"book-chapter","created":{"date-parts":[[2008,4,12]],"date-time":"2008-04-12T15:51:49Z","timestamp":1208015509000},"page":"111-118","source":"Crossref","is-referenced-by-count":1,"title":["On Multiple Imputation Through Finite Gaussian Mixture Models"],"prefix":"10.1007","author":[{"given":"Marco","family":"Di Zio","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ugo","family":"Guarnera","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"14_CR1_14","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1111\/j.2517-6161.1994.tb01985.x","volume":"56","author":"J DIEBOLT","year":"1994","unstructured":"DIEBOLT, J. and ROBERT, C.P. (1994): Estimation of finite mixture distributions through Bayesian sampling. Journal of the Royal Statistical Society B, 56, 363-375.","journal-title":"Journal of the Royal Statistical Society B"},{"key":"14_CR2_14","volume-title":"Imputation through finite Gaussian mix-ture models. Computational Statistics and Data Analysis, 51, 5305-5316. KOTZ, S., BALAKRISHNAN, N. and JOHNSON, N.L. (2000): Continuous multivariate dis-tributions. Vol.1, 2nd ed","author":"M DI ZIO","year":"2007","unstructured":"DI ZIO, M., GUARNERA, U. and LUZI, O. (2007): Imputation through finite Gaussian mix-ture models. Computational Statistics and Data Analysis, 51, 5305-5316. KOTZ, S., BALAKRISHNAN, N. and JOHNSON, N.L. (2000): Continuous multivariate dis-tributions. Vol.1, 2nd ed. Wiley, New York."},{"key":"14_CR3_14","doi-asserted-by":"crossref","DOI":"10.1002\/9781119013563","volume-title":"Statistical analysis with missing data","author":"RJA LITTLE","year":"2002","unstructured":"LITTLE, R.J.A. and RUBIN, D.B. (2002): Statistical analysis with missing data. Wiley, New York."},{"key":"14_CR4_14","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1214\/ss\/1177010269","volume":"9","author":"XL MENG","year":"1994","unstructured":"MENG, X.L. (1994): Multiple-imputation inferences with uncongenial sources of input (with discussion). Statistical Science, 9, 538-558.","journal-title":"Statistical Science"},{"key":"14_CR5_14","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1093\/biomet\/89.3.529","volume":"89","author":"SM PADDOCK","year":"2002","unstructured":"PADDOCK, S.M. (2002): Bayesian nonparametric multiple imputation of partially observed data with ignorable nonresponse. Biometrika, 89, 529-538.","journal-title":"Biometrika"},{"key":"14_CR6_14","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1111\/1467-9868.00095","volume":"59","author":"S RICHARDSON","year":"1997","unstructured":"RICHARDSON, S. and GREEN, P.J. (1997): On Bayesian analysis of mixtures with an un-known number of components.Journal of the Royal Statistical Society B, 59, 731-792.","journal-title":"Journal of the Royal Statistical Society B"},{"key":"14_CR7_14","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316696","volume-title":"Multiple imputation for nonresponse in surveys","author":"DB RUBIN","year":"1987","unstructured":"RUBIN, D.B. (1987): Multiple imputation for nonresponse in surveys. Wiley, New York."},{"key":"14_CR8_14","doi-asserted-by":"crossref","DOI":"10.1201\/9781439821862","volume-title":"Analysis of incomplete multivariate data","author":"JL SCHAFER","year":"1997","unstructured":"SCHAFER, J.L. (1997): Analysis of incomplete multivariate data. Chapman & Hall, London."},{"key":"14_CR9_14","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1214\/aos\/1016120364","volume":"28","author":"M STEPHENS","year":"2000","unstructured":"STEPHENS, M. (2000): Bayesian analysis of mixture models with an unknown number of components-an alternative to reversible jump methods. Annals of Statistics, 28, 40-74.","journal-title":"Annals of Statistics"},{"key":"14_CR10_14","doi-asserted-by":"publisher","first-page":"528","DOI":"10.2307\/2289457","volume":"82","author":"MA TANNER","year":"1987","unstructured":"TANNER, M.A. and WONG, W.H. (1987): The calculation of posterior distribution by data augmentation (with discussion). Journal of the American Statistical Association, 82, 528-550.","journal-title":"Journal of the American Statistical Association"}],"container-title":["Studies in Classification, Data Analysis, and Knowledge Organization","Data Analysis, Machine Learning and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-78246-9_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T17:38:48Z","timestamp":1738172328000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-78246-9_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"ISBN":["9783540782391","9783540782469"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-78246-9_14","relation":{},"ISSN":["1431-8814"],"issn-type":[{"type":"print","value":"1431-8814"}],"subject":[],"published":{"date-parts":[[2008]]}}}