ジャーナル情報

Methodology and Computing in Applied Probability

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インパクトファクター:
1.0
出版社:
Springer
ISSN:
1387-5841
閲覧:
17836
フォロー:
0

論文募集

Methodology and Computing in Applied Probability is an academic journal published by Springer. (ISSN 1387-5841, impact factor 1.0).

Aims and scope Methodology and Computing in Applied Probability will publish high quality research and review articles in the areas of applied probability that emphasize methodology and computing. Of special interest are articles in important areas of applications that include detailed case studies. Applied probability is a broad research area that is of interest to many scientists in diverse disciplines including: anthropology, biology, communication theory, economics, epidemiology, finance, linguistics, meteorology, operations research, psychology, quality control, reliability theory, sociology and statistics. The following alphabetical listing of topics of interest to the journal is not intended to be exclusive but to demonstrate the editorial policy of attracting papers which represent a broad range of interests: Algorithms Approximations Asymptotic Approximations & Expansions Combinatorial & Geometric Probability Communication Networks Extreme Value Theory Finance Image Analysis Inequalities Information Theory Mathematical Physics Molecular Biology Monte Carlo Methods Order Statistics Queuing Theory Reliability Theory Stochastic Processes
最終更新：Dou Sun（）

Special Issues

Special Issue on Markov and Semi-Markov Processes and Related Fields: Theory and Applications — Selected Contributions from SMP2026 投稿締切日: 2026-09-30 This Topical Collection will gather selected papers associated with SMP2026 — The 5th International Symposium on Markov and Semi-Markov Processes and Related Fields: Theory and Applications, an international scientific conference in honor of Professor Nikolaos Limnios, to be held in Hammamet, Tunisia, from May 19 to 22, 2026. The collection will bring together high-quality contributions on theoretical, methodological, and applied aspects of Markov processes, semi-Markov processes, Markov renewal processes, and related fields.
最終更新：Dou Sun（）

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