Computational Statistics
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Key Metrics
Journal Specifications
- PublisherSPRINGER HEIDELBERG
- LanguageEnglish
- FrequencyQuarterly
- LanguageEnglish
- FrequencyQuarterly
- Publication Start Year1992
- Publisher URL
- Website URL
Topics Covered
Year-wise Publication
- 5Y
- 10Y
FAQs
Since when has Computational Statistics been publishing? 
The Computational Statistics has been publishing since 1992 till date.
How frequently is the Computational Statistics published?
Computational Statistics is published Quarterly.
Who is the publisher of Computational Statistics?
The publisher of Computational Statistics is SPRINGER HEIDELBERG.
How can I view the journal metrics of Computational Statistics on editage?
For the Computational Statistics metrics, please refer to the section above on the page.
What is the eISSN and pISSN number of Computational Statistics?
The eISSN number is 1613-9658 and pISSN number is 0943-4062 for Computational Statistics.
What is the focus of this journal?
The journal covers a wide range of topics inlcuding Uncertainty quantification, Affine transformation, Distribution function, Noisy data, Dirichlet process mixture, Interval estimation, Empirical likelihood, Kent distribution, Spectral density estimation, Quantile regression, Simulation, Student achievement, Selection bias, Ranked set sampling, Logistic regression, Binary data, Thermodynamic integration, Double threshold, Bayes factor, Confidence interval.
Why is it important to find the right journal for my research?
Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.
Can the choice of journal affect my academic career?
Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.
Is it advisable to target high-impact journals only?
While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.