Methodology And Computing In Applied Probability

期刊简介：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

【译文】方法与计算在应用概率领域将发表高质量的研究和综述文章，强调方法和计算。特别感兴趣的是包括详细案例研究的应用重要领域的文章。应用概率是一个广泛的科研领域，吸引了许多来自不同学科的科学家的兴趣，包括：人类学、生物学、通信理论、经济学、流行病学、金融、语言学、气象学、运筹学、心理学、质量控制、可靠性理论、社会学和统计学。以下按字母顺序列出的期刊感兴趣的主题列表并非旨在详尽无遗，而是为了展示编辑政策，吸引代表广泛兴趣的论文：-算法-近似-渐近近似与展开-组合与几何概率-通信网络-极值理论-金融-图像分析-不等式-信息论-数学物理-分子生物学-蒙特卡洛方法-顺序统计-排队理论-可靠性理论-随机过程