Affirm Journal of Statistical Science
Affirm Journal of Statistical Science is an international and peer-reviewed journal with an intercontinental advisory board. The journal documents the professional’s interest in any areas that connect to statistical science. The focus of the journal is on theories and practice in data analysis, computational and graphical statistics, probability and mathematical statistics, and general and introductory statistics. The editorial board of the Affirm Journal of Statistical Science invites authors to submit original papers, empirical studies, case studies and review papers to the journal. At Affirm Journal of Statistical Science, we expect the authors to abide Principles of Transparency and Best Practice in Scholarly Publishing suggested by The Committee on Publication Ethics (COPE), the Directory of Open Access Journals (DOAJ), the Open Access Scholarly Publishers Association (OASPA), and Scopus.
Scope and Focus
Applied Probability and Statistics / Models / Survival Analysis
Bayesian Analysis
Biometrics
Categorical Data Analysis
Computational and Graphical Statistics
Data Analysis
Data Mining Statistics
Econometric and Statistical Methods
Engineering Statistics
Environmental Statistics and Environmetrics
Experimental Design
General and Introductory Statistics
History of Statistics
Medical Statistics and Epidemiology
Popular Interest Statistics
Probability and Mathematical Statistics
Quality, Productivity, and Reliability
Queuing Theory
Regression Analysis
Statistics and Probability
Statistics for Finance, Business, and Economics
Statistics for Social Sciences
Time Series
Editor in chief
Dr. Loghman
Abstracting and Indexing
Google Scholar