Analysis of Peer Review System Based on Fewness Distribution Function

DOI

10.2991/meici-16.2016.236How to use a DOI?

Keywords

Peer review system; Skewness distribution; Probability model; Monte Carlo

Abstract

For dealing with randomness characteristic of the paper submitted and accepted, a probability arithmetic of reliability analysis for peer review system is presented on basis of skewed normal distribution and in combination with Monte Carlo simulation algorithm. The Approximate Probability and Mathematical Expectation indices can be obtained by Matlab simulation and M-C method. Based on the randomness analysis of the paper submitted and accepted principles. It is verified that this probability arithmetic is feasible. It is easier to figure out that we can have a more clear and objectives acknowledge for peer review system.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Jian Zhou
AU  - Ning Cai
AU  - Yanjun Li
PY  - 2016/09
DA  - 2016/09
TI  - Analysis of Peer Review System Based on Fewness Distribution Function
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 1133
EP  - 1136
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.236
DO  - 10.2991/meici-16.2016.236
ID  - Zhou2016/09
ER  -