Blar i Statistics Norway's Open Research Repository (SNORRe) på forfatter "Zhang, Li-Chun"
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On the Bias in Gross Labour Flow Estimates Due to Nonresponse and Misclassification
Zhang, Li-Chun (Journal article; Peer reviewed, 2005)Abstract: I evaluate and compare the bias due to nonresponse and misclassification in the sample gross labour flow estimates from the Norwegian Labour Force Survey (LFS). These help also to explain the level and net change ... -
Post-stratification and calibration : a synthesis
Zhang, Li-Chun (Discussion Papers;No. 216, Working paper, 1998)The paper offers a synthesis of several widely used estimation methods in survey sampling from a rather personal point of view. The methods which will be discussed include post-stratification estimation, generalized ... -
Prediction and imputation in ISEE: tools for more efficient use of combined data sources
Zhang, Li-Chun; Nordbotten, Svein (Conference lecture, 2008)The development of an Integrated System for Editing and Estimation (ISEE) is an important part in Statistics Norway's strategic plans for improvement of statistical production processes and more efficient use of available ... -
Secure big data collection and processing: Framework, means and opportunities
Zhang, Li-Chun; Haraldsen, Gustav (Peer reviewed; Journal article, 2022)Statistical disclosure control is important for the dissemination of statistical outputs. There is an increasing need for greater confidentiality protection during data collection and processing by National Statistical ... -
Simultaneous estimation of the mean of a binary variable from a large number of small areas
Zhang, Li-Chun (Journal article; Peer reviewed, 2003)We develop a frequentist method of simultaneous small area estimation under hierarchical models. The simultaneous estimator is the best ensemble predictor under the model. It is preferable to the area-specific best predictor ... -
Simultaneous estimation under nested error regression model
Zhang, Li-Chun (Journal article; Peer reviewed, 2004)Zhang (2003) proposed a frequentist method of simultaneous small area estimation under hierarchical models. This can be useful when various ensemble characteristics of the small area parameters are of interest in addition ... -
Synthetic graphical modelling of binary panel data subject to non-response : a case study
Zhang, Li-Chun (Discussion Papers;No. 220, Working paper, 1998)The present paper applies synthetic graphical modelling to the binary panel data of the Muscatine Coronary Risk Factor Study, where the observations are subject to non-response. The methodology combines the techniques ... -
The Effect of using administrative registers in economic short term statistics: The Norwegian labour force survey as a case study
Thomsen, Ib; Zhang, Li-Chun (Discussion Papers;No. 273, Working paper, 2000)In case of a single survey at one time point, it is well known that combining administrative registers with survey data often substantially improves the quality of statistic production. However, in short term statistics ... -
Uncertainties in emissions of long-range air pollutants
Rypdal, Kristin; Zhang, Li-Chun (Rapporter;2001/37, Research report, 2001-10-31) -
Uncertainties in the Norwegiangreenhouse gas emission inventory
Rypdal, Kristin; Zhang, Li-Chun (Rapporter;2000/13, Research report, 2000-05-11) -
A unit-error theory for register-based household statistics
Zhang, Li-Chun (Journal article; Peer reviewed, 2011)Abstract: The next round of censuses will be completely register-based in all the Nordic countries. Household is a key statistical unit in this context, which however does not exist as such in the administrative registers ... -
A unit-error theory for register-based household statistics
Zhang, Li-Chun (Discussion Papers;598, Working paper, 2009)The next round of census will be completely register-based in all the Nordic countries. Household is a key statistical unit in this context, which however does not exist as such in the administrative registers available, ... -
Weighting estimation under bipartite incidence graph sampling
Patone, Martina; Zhang, Li-Chun (Peer reviewed; Journal article, 2022)