Full text
Preview |
PDF (Analysis and Quality Control from ARIMA Modeling)
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (32kB) | Preview |
Revilla Novella, Pedro and Rey del Castillo, Pilar (2000). Analysis and Quality Control from ARIMA Modeling. In: "Work Session on Statistical Data Editing", October 2000, Cardiff, UK.
Title: | Analysis and Quality Control from ARIMA Modeling |
---|---|
Author/s: |
|
Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | Work Session on Statistical Data Editing |
Event Dates: | October 2000 |
Event Location: | Cardiff, UK |
Title of Book: | Proceedings of the United Nations Economic Commission for Europe (invited paper) |
Date: | 1 October 2000 |
Subjects: | |
Freetext Keywords: | Continuous surveys, data editing, ARIMA models, Intervention Analysis |
Faculty: | Facultad de Informática (UPM) |
Department: | Inteligencia Artificial |
Creative Commons Licenses: | Recognition - Non commercial - Share |
Preview |
PDF (Analysis and Quality Control from ARIMA Modeling)
- Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (32kB) | Preview |
In this paper, we use ARIMA modelling to estimate a set of characteristics of a short-term indicator (for example, the index of industrial production), as trends, seasonal variations, cyclical oscillations, unpredictability, deterministic effects (as a strike), etc. Thus for each sector and product (more than 1000), we construct a vector of values corresponding to the above-mentioned characteristics, that can be used for data editing.
Item ID: | 16441 |
---|---|
DC Identifier: | https://oa.upm.es/16441/ |
OAI Identifier: | oai:oa.upm.es:16441 |
Deposited by: | Dr Pilar Rey del Castillo |
Deposited on: | 15 Jul 2013 07:12 |
Last Modified: | 21 Apr 2016 16:45 |