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Waste Statistics and Selective Editing

Brodda Jansen, Edith LU (2018) STAN40 20172
Department of Statistics
Abstract
Data editing is one of the most important processes in order to achieve high quality statistics and is at the same time the most costly processing in statistical production. Therefore, many attempts have been made, over time and worldwide, to find effective ways to improve methods and at the same time limit costs of editing.

This thesis dives into the concept of data editing and selective editing in particular. Selective editing is one of the editing techniques developed with the help of modern technology were large amounts of data can easily be processed and analyzed. The idea is simply to limit editing to those observations high risk of being erroneous and that have an impact on the final output. The risk and impact components create... (More)
Data editing is one of the most important processes in order to achieve high quality statistics and is at the same time the most costly processing in statistical production. Therefore, many attempts have been made, over time and worldwide, to find effective ways to improve methods and at the same time limit costs of editing.

This thesis dives into the concept of data editing and selective editing in particular. Selective editing is one of the editing techniques developed with the help of modern technology were large amounts of data can easily be processed and analyzed. The idea is simply to limit editing to those observations high risk of being erroneous and that have an impact on the final output. The risk and impact components create a score value for each observation. It is then up to the survey mangers to decide on a threshold for these scores, which indicates how to prioritize editing. At Statistics Sweden, the tool SELEKT has been developed to implement selective editing in surveys. SELEKT is a dynamic tool which gives the user freedom to combine traditional editing rules with selective editing parameters. (Less)
Please use this url to cite or link to this publication:
author
Brodda Jansen, Edith LU
supervisor
organization
course
STAN40 20172
year
type
H1 - Master's Degree (One Year)
subject
keywords
Selective editing
language
English
id
8959286
date added to LUP
2018-11-05 14:24:08
date last changed
2018-11-05 14:24:08
@misc{8959286,
  abstract     = {Data editing is one of the most important processes in order to achieve high quality statistics and is at the same time the most costly processing in statistical production. Therefore, many attempts have been made, over time and worldwide, to find effective ways to improve methods and at the same time limit costs of editing. 

This thesis dives into the concept of data editing and selective editing in particular. Selective editing is one of the editing techniques developed with the help of modern technology were large amounts of data can easily be processed and analyzed. The idea is simply to limit editing to those observations high risk of being erroneous and that have an impact on the final output. The risk and impact components create a score value for each observation. It is then up to the survey mangers to decide on a threshold for these scores, which indicates how to prioritize editing. At Statistics Sweden, the tool SELEKT has been developed to implement selective editing in surveys. SELEKT is a dynamic tool which gives the user freedom to combine traditional editing rules with selective editing parameters.},
  author       = {Brodda Jansen, Edith},
  keyword      = {Selective editing},
  language     = {eng},
  note         = {Student Paper},
  title        = {Waste Statistics and Selective Editing},
  year         = {2018},
}