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solutions
> statistical methods and software tools
Statistical Methods and Software Tools
Development of statistical methods for complex data analysis problems and of the software tools for their implementation.
- Now-casting for ICT sector statistics:
Development of a now-casting (estimation based on incomplete data)
methodology for key Structural Business Statistics of the Information
and Communication Technologies (ICT) sector, using statistical and
econometric methods. Additionally, development of the software tool for
implementation of this methodology. (Eurostat, 2007)
- ETIS
OLAP Toolbox: A web based OLAP (on-line analytical processing)
toolbox for visualisation and exploratory analysis of multidimensional
official statistics data sets and indicators, delivered by a multidimensional
data warehouse and an OLAP web service in GESMES/XML format. (ETIS
Consortium, DG Transport and Energy, 2005)
- Nowcasting
for R&D Statistics: Development of a new nowcasting (estimation
based on incomplete data) methodology, of the software tool for
its implementation, of a new metadata structure and of a metadata-collection
tool, for statistics on Research and Development. (Eurostat,
2005-2008)
- CAESAR
- Crop Area Estimation Software: Design and development of
a software application, applying advanced statistical methods
for the estimation of agricultural land use based on geo-sampling.
(JRC, 2005)
- Estimation
of Quarterly National Accounts: Analysis of methods for the
compilation of quarterly national accounts and requirements analysis
for the design of the respective software module to be integrated
in the information system of the National Statistical Service
of Greece. (NSSG, Altec, 2004)
- IST/ERMIS
- Electronic commerce Measurement through Intelligent agents:
A software system for random selection and categorisation of e-commerce
web pages, in order to estimate web page populations and calculate
e-commerce statistical indicators, applying an adapted multiple
recapture methodology. (DG Information Society, 5th Framework
Program for R&TD, 2000-2003).
Also
refer to project "STATLAS" (see section on "Statistical Data Warehouses
and Information Systems") for the development of a generic statistical
and spatial data-mining toolbox.
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