05556nam 2200757 a 450 991081747220332120230725030729.01-283-05228-897866130522850-470-90484-40-470-90483-6(CKB)2670000000077516(EBL)675003(OCoLC)714797064(SSID)ssj0000518300(PQKBManifestationID)12183766(PQKBTitleCode)TC0000518300(PQKBWorkID)10492926(PQKB)10335075(MiAaPQ)EBC675003(Au-PeEL)EBL675003(CaPaEBR)ebr10454756(CaONFJC)MIL305228(EXLCZ)99267000000007751620100517d2011 uy 0engur|n|---|||||txtccrHandbook of statistical data editing and imputation /Ton de Waal, Jeroen Pannekoek, Sander ScholtusHoboken, N.J. Wileyc20111 online resource (xi, 439 pages) illustrationsWiley handbooks in survey methodologyDescription based upon print version of record.0-470-54280-2 Includes bibliographical references and index.Handbook of Statistical Data Editing and Imputation; Contents; PREFACE; 1 INTRODUCTION TO STATISTICAL DATA EDITING AND IMPUTATION; 1.1 Introduction; 1.2 Statistical Data Editing and Imputation in the Statistical Process; 1.3 Data, Errors, Missing Data, and Edits; 1.4 Basic Methods for Statistical Data Editing and Imputation; 1.5 An Edit and Imputation Strategy; References; 2 METHODS FOR DEDUCTIVE CORRECTION; 2.1 Introduction; 2.2 Theory and Applications; 2.3 Examples; 2.4 Summary; References; 3 AUTOMATIC EDITING OF CONTINUOUS DATA; 3.1 Introduction3.2 Automatic Error Localization of Random Errors 3.3 Aspects of the Fellegi-Holt Paradigm; 3.4 Algorithms Based on the Fellegi-Holt Paradigm; 3.5 Summary; 3.A Appendix: Chernikova's Algorithm; References; 4 AUTOMATIC EDITING: EXTENSIONS TO CATEGORICAL DATA; 4.1 Introduction; 4.2 The Error Localization Problem for Mixed Data; 4.3 The Fellegi-Holt Approach; 4.4 A Branch-and-Bound Algorithm for Automatic Editing of Mixed Data; 4.5 The Nearest-Neighbor Imputation Methodology; References; 5 AUTOMATIC EDITING: EXTENSIONS TO INTEGER DATA; 5.1 Introduction5.2 An Illustration of the Error Localization Problem for Integer Data 5.3 Fourier-Motzkin Elimination in Integer Data; 5.4 Error Localization in Categorical, Continuous, and Integer Data; 5.5 A Heuristic Procedure; 5.6 Computational Results; 5.7 Discussion; References; 6 SELECTIVE EDITING; 6.1 Introduction; 6.2 Historical Notes; 6.3 Micro-selection: The Score Function Approach; 6.4 Selection at the Macro-level; 6.5 Interactive Editing; 6.6 Summary and Conclusions; References; 7 IMPUTATION; 7.1 Introduction; 7.2 General Issues in Applying Imputation Methods; 7.3 Regression Imputation7.4 Ratio Imputation 7.5 (Group) Mean Imputation; 7.6 Hot Deck Donor Imputation; 7.7 A General Imputation Model; 7.8 Imputation of Longitudinal Data; 7.9 Approaches to Variance Estimation with Imputed Data; 7.10 Fractional Imputation; References; 8 MULTIVARIATE IMPUTATION; 8.1 Introduction; 8.2 Multivariate Imputation Models; 8.3 Maximum Likelihood Estimation in the Presence of Missing Data; 8.4 Example: The Public Libraries; References; 9 IMPUTATION UNDER EDIT CONSTRAINTS; 9.1 Introduction; 9.2 Deductive Imputation; 9.3 The Ratio Hot Deck Method; 9.4 Imputing from a Dirichlet Distribution9.5 Imputing from a Singular Normal Distribution 9.6 An Imputation Approach Based on Fourier-Motzkin Elimination; 9.7 A Sequential Regression Approach; 9.8 Calibrated Imputation of Numerical Data Under Linear Edit Restrictions; 9.9 Calibrated Hot Deck Imputation Subject to Edit Restrictions; References; 10 ADJUSTMENT OF IMPUTED DATA; 10.1 Introduction; 10.2 Adjustment of Numerical Variables; 10.3 Adjustment of Mixed Continuous and Categorical Data; References; 11 PRACTICAL APPLICATIONS; 11.1 Introduction; 11.2 Automatic Editing of Environmental Costs11.3 The EUREDIT Project: An Evaluation StudyA practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values. As a result, the important role of statistical data editing, and the amount of resources involved, has motivated considerable research efforts to enhance the efficiency and effectiveness of this process.Wiley handbooks in survey methodology.StatisticsStandardsData editingData integrityQuality controlStatistical servicesEvaluationStatisticsStandards.Data editing.Data integrity.Quality control.Statistical servicesEvaluation.001.4/22Waal Ton de145008Pannekoek Jeroen1951-1631513Scholtus Sander1983-1631514MiAaPQMiAaPQMiAaPQBOOK9910817472203321Handbook of statistical data editing and imputation3970328UNINA