Bibliographic Details
| Title: |
From the Editor. |
| Authors: |
Okrasa, Włodzimierz |
| Source: |
Statistics in Transition. New Series; Sep2025, Vol. 26 Issue 3, pVII-XI, 5p |
| Subject Terms: |
BENFORD'S law (Statistics), COVID-19, INCOME inequality, MINIMUM variance estimation, STATISTICAL models, BAYESIAN analysis, STATISTICAL methods in information science |
| Geographic Terms: |
UNITED States |
| Abstract: |
The article presents the September 2025 issue of a publication featuring 12 articles across three sections: Original Research Papers, Conference Papers, and Research Communicates and Letters, authored by 24 researchers from various countries including Australia, Poland, and India. Key topics include the application of Benford’s Law to COVID-19 data in the U.S., the impact of educational changes on income inequality in Poland, and the modeling of economic growth in West Africa using Bayesian methods. The issue also explores statistical methodologies, such as the Nonlinear Autoregressive Distributed Lag (NARDL) model for analyzing CO2 emissions in the Visegrad countries and the development of a minimum variance unbiased estimator for population variance using auxiliary information. [Extracted from the article] |
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| Database: |
Complementary Index |
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