Journal Information
Methodology and Computing in Applied Probability
http://www.springer.com/statistics/journal/11009
Impact Factor:
0.647
Publisher:
Springer
ISSN:
1387-5841
Viewed:
3547
Tracked:
0

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Call For Papers
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
Last updated by Dou Sun in 2013-11-23
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