Bibliographic Details
| Title: |
Editorial. |
| Authors: |
Gennari, Pietro |
| Source: |
Statistical Journal of the IAOS; 2024, Vol. 40 Issue 1, p1-8, 8p |
| Subject Terms: |
CENSUS, MACHINE learning, LINKED data (Semantic Web), OPEN Data Protocol, HYPERLINKS, TABLE grapes, GEOGRAPHIC information systems |
| Abstract: |
This document provides a summary of various articles published in the Statistical Journal of the International Association of Official Statistics (SJIAOS). The articles cover a range of topics, including New Zealand's transition to a register-based statistical system, using machine learning techniques for a register-based census in Iran, and improving the traditional census in the United States with administrative data. Other articles discuss imputation methods, spatial statistics, data quality, efficiency of grape farms in Armenia, and partnerships between National Statistical Offices and academia. The document also includes a call for papers on understanding and assessing the value of official statistics. [Extracted from the article] |
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| Database: |
Complementary Index |
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