Journal of Time Series Analysis (JTSA)

The Journal of Time Series Analysis is a peer‑reviewed academic journal established in 1980 and published bimonthly by John Wiley & Sons. It focuses on the statistical theory and methodology of time series analysis — the statistical examination of data collected sequentially over time. The journal’s scope includes fundamental research on stochastic processes, spectral analysis, autoregressive and moving‑average models, state‑space models, long‑memory and non‑stationary series, and recent advances in high‑dimensional and non‑linear time‑series modeling. It features original research articles that develop new methods, theoretical results, and practical tools for inference, forecasting, and interpretation of temporal data across scientific disciplines. Applications in economics and finance, signal processing, environmental and biological data, and engineering systems underscore its interdisciplinary impact. The journal also publishes review articles and occasional special issues on emerging themes in time series methodology. The readership includes statisticians, econometricians, applied mathematicians, and scientists who work with temporal data. Because time series techniques underpin forecasting and dynamic modeling in many domains — from macroeconomic indicators and financial markets to climate and biomedical signals — the journal plays a central role in advancing both theory and applications of temporal data analysis.

Journal of Time Series Analysis (JTSA) is :-

• International, Peer-Reviewed, Open Access, Refereed, Applied Mathematics, Statistics and Probability, Statistics, Probability and Uncertainty, theoretical developments, statistical inference , Online or Print , Bi-Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0143-9782, E-ISSN: 1467-9892, Established: 1980, Impact Factor: 1.0
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE