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Methodology and Computing in Applied Probability

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영향력 지수:
1.0
출판사:
Springer
ISSN:
1387-5841
조회:
19135
팔로우:
0

논문 모집

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
최종 수정: Dou Sun ()

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Statistical MethodologyElsevier1572-3127
Combinatorics, Probability and Computing0.900Cambridge University Press0963-5483
CApplied Intelligence3.5Springer0924-669X
Applied InformaticsSpringer2196-0089
Computing2.8Springer0010-485X
Applied Mathematics & Optimization1.7Springer0095-4616
Applied Computing and InformaticsElsevier2210-8327
Computing and Visualization in ScienceSpringer1432-9360
Applied Soft Computing7.8Elsevier1568-4946
IPSJ Transactions on System LSI Design MethodologyInformation Processing Society of Japan1882-6687

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