Springer

Methodology And Computing In Applied Probability

(ISSN 1573-7713)

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