Estimation from contaminated multi-source data based on latent class models-Reference-Cited by-同舟云学术

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Estimation from contaminated multi-source data based on latent class models

Published:2016-11-15 Issue:4 Volume:32 Page:537-544
ISSN:1874-7655
Container-title:Statistical Journal of the IAOS
language:
Short-container-title:SJI

Author:

Guarnera Ugo,Varriale Roberta

Publisher

IOS Press

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Management Information Systems

Reference5 articles.

1. Estimating the validity of administrative Variables;Bakker;IStatistica Neerlandica,2012

2. Measuring temporary employment. Do survey or register data tell the truth;Pavlopoulos;Survey Methodology,2015

3. A contamination model for Selective Editing;Di Zio;Journal of Official Statistics,2013

4. Outlier Detection and Editing Procedures for Continuous Multivariate Data;Ghosh-Dastidar;Journal of Official Statistics,2006

5. Identifiability of finite mixtures;Teicher;Ann Math Statist,1963

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating a time series of temporary employment using a combination of survey and register data;Statistical Journal of the IAOS;2023-03-15

2. Reconciliation of inconsistent data sources using hidden Markov models;Statistical Journal of the IAOS;2020-11-25

3. Multi‐source Statistics: Basic Situations and Methods;International Statistical Review;2020-04

4. Reconciliation of inconsistent data sources by correction for measurement error: The feasibility of parameter re-use;Statistical Journal of the IAOS;2018-08-09

5. Estimating Classification Errors Under Edit Restrictions in Composite Survey-Register Data Using Multiple Imputation Latent Class Modelling (MILC);Journal of Official Statistics;2017-11-18

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