{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T10:11:38Z","timestamp":1763201498349},"publisher-location":"Berlin, Heidelberg","reference-count":28,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642002113"},{"type":"electronic","value":"9783642002120"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"DOI":"10.1007\/978-3-642-00212-0_7","type":"book-chapter","created":{"date-parts":[[2009,2,13]],"date-time":"2009-02-13T10:39:46Z","timestamp":1234521586000},"page":"122-142","source":"Crossref","is-referenced-by-count":8,"title":["Missing Data Analysis: A Kernel-Based Multi-Imputation Approach"],"prefix":"10.1007","author":[{"given":"Shichao","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofeng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jilian","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"7_CR1","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1177\/0049124100028003003","volume":"28","author":"P.D. Allison","year":"2000","unstructured":"Allison, P.D.: Multiple imputation for missing data: a cautionary tale. Sociological Methods and Research\u00a028, 301\u2013309 (2000)","journal-title":"Sociological Methods and Research"},{"key":"7_CR2","volume-title":"UCI Repository of machine learning database","author":"C. Blake","year":"1998","unstructured":"Blake, C., Merz, C.: UCI Repository of machine learning database. University of California, Department of Information and Computer Science, Irvine (1998), http:\/\/www.ics.uci.edu\/~mlearn\/MLResoesitory.html"},{"key":"7_CR3","volume-title":"Knowledge Discovery in Advanced Information Systems","author":"K. Cios","year":"2002","unstructured":"Cios, K., Kurgan, L.: Trends in Data Mining and Knowledge Discovery. In: Pal, N., Jain, L., Teoderesku, N. (eds.) Knowledge Discovery in Advanced Information Systems. Springer, Heidelberg (2002)"},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Engle, R.F., et al.: Semiparametric Estimates of the Relation Between Weather and Electricity Sales Applications, JASA, vol.\u00a0394 (June 1986)","DOI":"10.2307\/2289218"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Farhangfar, A., Kurgan, L.A., Pedrycz, W.: A Novel Framework for Imputation of Missing Values in Databases. IEEE Transactions on SMC(A) (2007)","DOI":"10.1109\/TSMCA.2007.902631"},{"key":"7_CR6","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/S0895-4356(01)00433-4","volume":"55","author":"P. Faris","year":"2002","unstructured":"Faris, P., et al.: Multiple imputation versus data enhancement for dealing with missing data in observational health care outcome analyses. Journal of Clinical Epidemiology\u00a055, 184\u2013191 (2002)","journal-title":"Journal of Clinical Epidemiology"},{"key":"7_CR7","volume-title":"Data Mining Concepts and Techniques","author":"J. Han","year":"2006","unstructured":"Han, J., Kamber, M.: Data Mining Concepts and Techniques. Morgan Kaufmann Publishers, San Francisco (2006)"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Karmaker, A., Kwek, S.: Incorporating an EM-Approach for Handling Missing Attribute-Values in Decision Tree Induction. In: Fifth International Conference on Hybrid Intelligent Systems (2005)","DOI":"10.1109\/ICHIS.2005.64"},{"key":"7_CR9","unstructured":"Kang, S.S., Koehler, K., Larsen, M.D.: Partial FEFI for Incomplete Tables with Covariates Iowa State University, JSM (2007)"},{"key":"7_CR10","unstructured":"Kim, Y.: The curse of the missing data (2001), http:\/\/209.68.240.11:8080"},{"key":"7_CR11","doi-asserted-by":"crossref","DOI":"10.1002\/9781119013563","volume-title":"Statistical analysis with missing data","author":"R. Little","year":"2002","unstructured":"Little, R., Rubin, D.: Statistical analysis with missing data, 2nd edn. John Wiley & Sons, New York (2002)","edition":"2"},{"issue":"4","key":"7_CR12","doi-asserted-by":"publisher","first-page":"1038","DOI":"10.1162\/003465303772815916","volume":"85","author":"D. Millimet","year":"2003","unstructured":"Millimet, D., List, J., Stengos, T.: The Environmental Kuznets Curve: Real Progress or Misspecified Models? Review of Economics and Statistics\u00a085(4), 1038\u20131047 (2003)","journal-title":"Review of Economics and Statistics"},{"key":"7_CR13","unstructured":"Mostafa, M.H., Amir, F.A., Neamat, E.G., Raafat, E.F.: Regression in the Presence Missing Data Using Ensemble Methods. In: Proc. IJCNN (2007)"},{"key":"7_CR14","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1080\/00031305.1990.10475687","volume":"44","author":"J. Peixoto","year":"1990","unstructured":"Peixoto, J.: A property of well-formulated polynomial regression models. American Statistician\u00a044, 26\u201330 (1990)","journal-title":"American Statistician"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Peng, C., Zhu, J.: Comparison of Two Approaches for Handling Missing Covariates in Logistic Regression. Educational and Psychological Measurement (2008)","DOI":"10.1177\/0013164407305582"},{"key":"7_CR16","unstructured":"Pin, T., James, L.: The Elasticity of Demand for Gasoline: A Semi-Parametric Analysis (2005), http:\/\/uiuc.edu\/~ng\/working\/gas.ps"},{"issue":"1","key":"7_CR17","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1007\/s10489-006-0032-0","volume":"27","author":"Y.S. Qin","year":"2007","unstructured":"Qin, Y.S., et al.: Semi-parametric optimization for missing data imputation. Appl. Intell.\u00a027(1), 79\u201388 (2007)","journal-title":"Appl. Intell."},{"key":"7_CR18","doi-asserted-by":"publisher","DOI":"10.1201\/9781439821862","volume-title":"Analysis of incomplete multivariate data","author":"J. Schafer","year":"1997","unstructured":"Schafer, J.: Analysis of incomplete multivariate data, 1st edn. Chapman and Hall, London (1997)","edition":"1"},{"key":"7_CR19","unstructured":"Schafer, J.: NORM: Multiple imputation of incomplete multivariate data under a normal model. Version 2 (1999)"},{"key":"7_CR20","first-page":"153","volume":"3","author":"J. Scheffer","year":"2002","unstructured":"Scheffer, J.: Dealing with Missing Data. Res. Lett. Inf. Math. Sci.\u00a03, 153\u2013160 (2002)","journal-title":"Res. Lett. Inf. Math. Sci."},{"key":"7_CR21","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1214\/aos\/1028674845","volume":"30","author":"Q. Wang","year":"2002","unstructured":"Wang, Q., Rao, J.: Empirical likelihood-based inference under imputation for missing response data. Ann. Statist.\u00a030, 896\u2013924 (2002)","journal-title":"Ann. Statist."},{"key":"7_CR22","unstructured":"Yuan, Y.: Multiple imputation for missing data: concepts and new development SAS\/STAT 8.2. SAS Institute Inc., Cary, NC (2001), http:\/\/www.sas.com\/statistics"},{"key":"7_CR23","unstructured":"Zhang, C.Q., et al.: Efficient Imputation Method for Missing Values. In: PAKDD (2007)"},{"key":"7_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, L.: Nonparametric Markov chain bootstrap for multiple imputation (2004)","DOI":"10.1016\/S0167-9473(02)00300-6"},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Zhang, S., et al.: Missing is useful: missing values in cost-sensitive decision trees. IEEE Transactions on Knowledge and Data Engineering\u00a017(12) (2005)","DOI":"10.1109\/TKDE.2005.188"},{"key":"7_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1007\/978-3-540-79299-4_7","volume-title":"Transactions on Computational Science I","author":"S. Zhang","year":"2008","unstructured":"Zhang, S., Zhang, J., Zhu, X., Qin, Y., Zhang, C.: Missing Value Imputation Based on Data Clustering. In: Gavrilova, M.L., Tan, C.J.K. (eds.) Transactions on Computational Science I. LNCS, vol.\u00a04750, pp. 128\u2013138. Springer, Heidelberg (2008)"},{"key":"7_CR27","unstructured":"Zhang, S.C., et al.: POP Algorithm: Kernel-Based Imputation to Treat Missing data in Knowledge Discovery from Databases, Expert Systems with Applications (2008)"},{"key":"7_CR28","unstructured":"Zhang, W.: Association based multiple imputation in multivariate datasets: A summary. In: Proc. 16th ICDE (2000)"}],"container-title":["Lecture Notes in Computer Science","Transactions on Computational Science III"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-00212-0_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T14:49:03Z","timestamp":1710082143000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-00212-0_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642002113","9783642002120"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-00212-0_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2009]]}}}