Journal Report

Statistical Journal of the IAOS

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Journal Information
Journal Title
Statistical Journal of the IAOS
Publisher
Sage Publications
ISSN
1874-7655
E-ISSN
1875-9254
Database
ABDC
Domain
Health Sciences, Life Sciences, Physical Sciences, Social Sciences
Classification History
Year A+ A B C
2026 ✓
2025 ✓
2024 ✓
2023 ✓
2021/2022 ✓
2020 ✓
2019 ✓
2018
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Recent Articles
One weight for many variables: why multipurpose calibration of non-probability samples needs flexible working models, and what sharing it costs
Juan Pablo Ferreira
2026-10-28
DOI: 10.1177/18747655261501357
Identification of influential values and outliers in the Fay-Herriot EBLUP estimator: Empirical evidence from the crime prevalence in Mexico
Mario A Santillana Zapata, José A Gallegos Urenda
2026-10-28
DOI: 10.1177/18747655261501723
Mobile network operator data as a new source for transport planning and mobility analyses
Armando Häring, Lorenz Ade, Yannik Buhl et al.
2026-10-28
DOI: 10.1177/18747655261499494
External indicators and the powers of a statistical office: Port statistics in Europe and Viet Nam
Ngoc Quang Ngo
2026-10-24
DOI: 10.1177/18747655261499527
Leveraging what’s missing to clean what matters most: A fraction of missing information framework for adaptive iterative data cleaning in high-velocity big data environments
Perkins Watambwa, Lawrence Dhliwayo, James Lepkowski
2026-10-22
DOI: 10.1177/18747655261499490
Towards the Digital Transformation of Official Statistics in Latin America and the Caribbean: Evidence on the Use of Big Data and Artificial Intelligence from the 2024–2025 NSO Consultations
Maria Luíza Guerra de Toledo, Juan Jofré Cañipa, Hanna Diniz Cunha et al.
2026-10-19
DOI: 10.1177/18747655261495235
National statistical organizations at a crossroads: Trust, independence, and democratic relevance in the AI Era
Anil Arora
2026-10-15
DOI: 10.1177/18747655261493690
Benchmarking sex ratio at age zero as a data quality indicator for small populations: Using census 2000 as a case study
Katherine M Condon
2026-10-14
DOI: 10.1177/18747655261495226
The Conflict Data Gap: Partial identification of official statistics under conflict-induced non-observation
Kumafan Shadrach Dzaan
2026-10-14
DOI: 10.1177/18747655261495261
Governing what we don’t know: Uncertainty, source adjudication, and the accountability of national statistics offices in contested data environments
Kumafan Shadrach Dzaan
2026-10-14
DOI: 10.1177/18747655261497201
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Printed: October 31, 2026 04:29