Analysis of Peer Review System Based on Fewness Distribution Function
Authors
Jian Zhou, Ning Cai, Yanjun Li
Corresponding Author
Jian Zhou
Available Online September 2016.
- 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/).
Cite this article
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 -