Computational Statistics and Data Analysis

eISSN: 1872-7352pISSN: 0167-9473

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Key Metrics

CiteScore
2.9
Impact Factor
< 5
SJR
Q2Applied Mathematics
SNIP
1.52
9
Time to Publish
time-to-publish View Chart
9  Mo

Journal Specifications

Indexed in the following public directories

  • Web of Science Web of Science
  • Scopus Scopus
  • Inspec Inspec
  • SJR SJR
Overview
  • Publisher
    ELSEVIER
  • Language
    English
  • Frequency
    Monthly
General Details
View less
Time to Publish
Time to publish distribution
Articles published in year 2022
Time to publish index
Months% Papers published
0-3 1%
4-6 14%
7-9 32%
>9 54%

Topics Covered

Time series
Principal component analysis
Quantile regression
Cholesky decomposition
Distribution function
Empirical likelihood
Substance use
Bayesian inference
Functional response
Particle filter
Logistic regression
Heuristic
Finite mixture
Sufficient dimension reduction
Ridge estimator
Mixture model
Additive model
Kronecker product
Nonparametric density estimation
Markov chain Monte Carlo

Recently Published Papers

Year-wise Publication

FAQs

Since when has Computational Statistics and Data Analysis been publishing? Faqs

The Computational Statistics and Data Analysis has been publishing since 1983 till date.

How frequently is the Computational Statistics and Data Analysis published? Faqs

Computational Statistics and Data Analysis is published Monthly.

Who is the publisher of Computational Statistics and Data Analysis? Faqs

The publisher of Computational Statistics and Data Analysis is ELSEVIER.

How can I view the journal metrics of Computational Statistics and Data Analysis on editage? Faqs

For the Computational Statistics and Data Analysis metrics, please refer to the section above on the page.

What is the eISSN and pISSN number of Computational Statistics and Data Analysis? Faqs

The eISSN number is 1872-7352 and pISSN number is 0167-9473 for Computational Statistics and Data Analysis.

What is the focus of this journal? Faqs

The journal covers a wide range of topics inlcuding Time series, Principal component analysis, Quantile regression, Cholesky decomposition, Distribution function, Empirical likelihood, Substance use, Bayesian inference, Functional response, Particle filter, Logistic regression, Heuristic, Finite mixture, Sufficient dimension reduction, Ridge estimator, Mixture model, Additive model, Kronecker product, Nonparametric density estimation, Markov chain Monte Carlo.

Why is it important to find the right journal for my research? Faqs

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? Faqs

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? Faqs

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.