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Methods and IT tools for statistical production

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The Repository of the methods and IT tools for statistical production contains:

  • statistical methods
  • generalized IT tools

used at Istat for the production of statistical outputs.

The Repository is organized by phases of the statistical production process, in accordance with the Generic Statistical Business Process Model (GSBPM) Version 5.1.

PHASES OF THE PROCESS

  1. DESIGN >  METHODS    |   TOOLS
  2. COLLECT > METHODS   |   TOOLS
  3. PROCESS > METHODS  |   TOOLS
  4. ANALYSE > METHODS   |   TOOLS

The phases of the production process are the “gates” of access to information and specific materials. Only the phases Design, Collect, Process, Analyse, i.e., phases for which methods and tools are currently available, are taken into account.

The PHASES pages contain the most important information about the sub-processes within the selected phase.

Methods and tools are grouped by sub-processes. Methods and tools relevant to more than one sub-process are attributed to the prevailing sub-process.

The METHODS pages contain lists of documents that describe statistical methods. The documents are European Statistical System standards or methodological manuals, publications and internal reports drawn up by Istat researchers, also in collaborations with external esperts. For a given sub-process, the documents are listed in reverse chronological order (newest to oldest) and are available in PDF format or by linking to external sites.

The TOOLS pages contain lists of generalized IT tools that implement statistical methods. For a given sub-process, the tools are listed in alphabetical order. For each tool a general description showing the functions implemented is provided together with an information sheet.

Tools developed by Istat can be downloaded for free. How to find the tools not owned by Istat is also shown.

Latest updates

  • STATMATCH – Published the release 1.4.1 of the R package for data integration through statistical matching and, as a by-product, the ability to impute missing values in a data set. June 23, 2022
  • ReGenesees (R evolved Generalised software for sampling estimates and errors in surveys) – Published the release 2.1 of the full-fledged R software for design-based and model-assisted analysis of complex sample surveys. New functions ‘prep.calBeta’ and ‘pop.calBeta’ enable calibration on Multiple Regression Coefficients (which includes calibration on Means as a notable special case). September 9, 2021
  • R2BEAT (Multistage Sampling Design and PSUs selection) – Published the 1.0.2 release of the generalized software for multivariate optimal allocation for different domains in one and two stages stratified sample design. February 2, 2021

To stay informed on the latest updates of methods and IT tools, you must read the privacy statement and provide an e-mail address by writing to: softgen@istat.it.

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Last edit: 30 September 2022