Document Title | ENG | Presentations | Number | |
---|---|---|---|---|
Preliminary Agenda | WP 1 | |||
INF.1 | Information Notice 1 | |||
INF.2 | Information Notice 2 | |||
Paper template | DOC | |||
LaTeX template | ZIP | |||
Report | ||||
Topic (iii): Software tools and international collaboration | ||||
Discussant slides: introduction and discussion | ||||
Towards a generic approach to validation: the ValiDat foundation project (ValiDat) | WP 2 | |||
The ValiDat foundation project: survey on the different approaches to validation applied within the ESS (Germany) | WP 3 | |||
Flash estimates for Short Term indicators - data cleaning with X12 Arima (Austria) | WP 4 | |||
A formal typology of data validation functions (Netherlands) | WP 5 | |||
Integrated data entry and validation system in HCSO (Hungary) | WP 6 | |||
Usage of external software tools at SURS - experiences and lessons learned so far (Slovenia) | WP 7 | |||
Editing and imputation in Household Based Surveys - case of Household Budget Survey in Bosnia and Herzegovina (Bosnia and Herzegovina) | WP 8 | |||
Topic (ii): Managing and supporting changes related to editing and imputation | ||||
Discussant slides: introduction | ||||
Discussant slides: summary | ||||
Discussant slides: discussion | ||||
Redefining roles and responsibilities in a new harmonized statistical production process: opportunities and challenges (Canada) | WP 9 | |||
Managing changes in the E&I strategy of the Italian SBS (Italy) | WP 10 | |||
Implementation of selective editing methods at Statistics Finland using innovative and efficient team work methods (Finland) |
WP 11 | |||
Improvement of the quality of statistics by Mezo-validation (Hungary) | WP 12 | |||
Data collection optimization - first attempt (Hungary) | WP 13 | |||
Imputation at the National Agricultural Statistics Service (USA) | WP 14 | |||
Getting commitment to a new editing strategy (New Zealand) | WP 15 | |||
Managing and supporting changes related to editing and imputation in the United Kingdom (UK) | WP 16 | |||
Topic (i): Selective editing and macro editing | ||||
Discussant slides: introduction and discussion | ||||
Selective editing of business investments by using administrative data as auxiliary information (Italy) | WP 17 | |||
Output editing based on winsorization in the French SBS multisource system Esane (France) | WP 18 | |||
Developing a theoretical framework for selective editing based on modelling and optimisation (Spain) | WP 19 | |||
Changes in macro-editing and score functions for Dutch STS (Netherlands) | WP 20 | |||
Model-based selective editing procedures for agricultural price indices (Italy) | WP 21 | |||
Selective and macro-editing of a large business based administrative data set (USA) | WP 22 | |||
Method for reviewing selective editing thresholds at ONS, RSI pilot study (UK) | WP 23 | |||
Topic (vi): Report of the Task Team on a Generic Process Framework for Statistical Data Editing | ||||
Generic Statistical Data Editing Models (version 0.5) | WP 24 | |||
Topic (iv): Evaluation and feedback | ||||
Discussant slides: introduction | ||||
Discussant slides: discussion | ||||
Editing Big Data: an holistic approach (Netherlands) | WP 25 | |||
Editing process and its quality regarding design and production phases using process metadata and calculation modules (Finland) | WP 26 | |||
Analysis of the data preparation process of the structural survey of the federal population census (Switzerland) | WP 27 | |||
Editing and evaluation of statistics based on administrative microdata - example by Norway (Norway) | WP 28 | |||
Evaluation of Census 2011 survey estimates (Germany) | WP 29 | |||
Using the CURIOS algorithm to manage the prioritization of CAPI surveys (France) | WP 30 | |||
Topic (v): Emerging methods and data revolution | ||||
Discussant slides: introduction and discussion | ||||
Let the data speak: Machine learning methods for data editing and imputation (New Zealand) | WP 31 | |||
Estimation and editing for data from different sources. An approach based on latent class model. (Italy) | WP 32 | |||
An assessment of the feasibility of editing and imputing administrative tax return data to provide a substitute for survey data (UK) | WP 33 | |||
Multiple ratio imputation by the EMB algorithm (Japan) | WP 34 | |||
New results on automatic editing using hard and soft edit rules (Netherlands) | WP 35 |
Work Session on Statistical Data Editing
Work Session on Statistical Data Editing
14 - 16 September 2015
Budapest Hungary