Aims and Scope of Statistics in Transition
The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general. Less
Key Metrics
CiteScore 

0.7
SJR 

Q4Statistics and Probability

SNIP 

0.55
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Topics Covered on Statistics in Transition
Statistics in Transition Journal Specifications
| Overview | |
| Publisher | Walter de Gruyter |
| Language | English |
| Publication Time | 9 |
| Editorial Review Process | Double anonymous peer review |
| General Details | |
| Publication Details | |
| Publication Time | 9 |
| Editorial Review Detail | |
| Information for authors | |
| Author instructions | Visit website |
| Copyright Details | Visit website |
| License type | CC BY-NC-ND |
| OA statement | Visit website |
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Recently Published Papers in Statistics in Transition
An extended odd log-logistic-Lindley distribution with properties, applications and Bayesian estimation
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Bayesian nonparametric model for weighted data using mixture of Burr XII distributions
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An extended odd log-logistic-Lindley distribution with properties, applications and Bayesian estimation
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Modeling the impact of demand, supply, and budget constraints on consumer preferences
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Bayesian nonparametric model for weighted data using mixture of Burr XII distributions
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- Statistics in Transition new series
Factors determining the formation of degraded areas in local government units and the effectiveness of revitalisation activities
- 5 Dec 2025
- Statistics in Transition new series
The truncated Schröter recursive algorithm for the computation of aggregate claim amounts
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Mean estimation based on the factor-type estimator under an adaptive cluster sampling design
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- Statistics in Transition new series