The Journal of Statistical Distributions and Applications focuses on the theoretical properties and practical applications of various statistical distributions. Recent articles explore new generalized distributions, mixture models, and discrete analogues of continuous distributions, often with applications in areas like lifetime data analysis, finance, and gene expression data. The journal also covers topics such as copulas, count data models (including zero-inflated and hurdle models), and methods for statistical inference and parameter estimation, including maximum likelihood estimation and simulation studies.
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Publication & Citation Trend
Articles published
Times cited
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Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Computer Science ApplicationsQ1
Statistics and ProbabilityQ1
Statistics, Probability and UncertaintyQ1
Subject Classification
Scopus Categories
Statistics, Probability and UncertaintyComputer Science ApplicationsStatistics and Probability
Research Topics (OpenAlex)
Statistical Distribution Estimation and ApplicationsStatistical Methods and Bayesian InferenceProbabilistic and Robust Engineering DesignBayesian Methods and Mixture ModelsFinancial Risk and Volatility ModelingAdvanced Statistical Methods and ModelsStatistical Methods and InferenceHydrology and Drought AnalysisStatistical Methods in Clinical TrialsProbability and Risk Models