What is it about?
In this paper, we propose a statistical relationship between acceptance rate & first decision time of some indexed journals by applying fuzzy linear regression (FLR). We collect the data from two web sources: Elsevier journal finder, and Springer journal suggester. In this problem, we concentrate on the data of the acceptance rate and first decision time. To examine the relationship between these measures, we apply a statistical approach, which is based on correlation and regression analysis. We determine the relative error (RE) of the data collected. We plot the scatter diagram between the two measures. Pearson correlation coefficient (CC) value is also calculated. All this analysis reports that there is a moderate positive correlation between acceptance rate & first decision time.
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Why is it important?
This study may be very useful to the researchers in choosing a suitable journal as per acceptance rate and first decision time. Fuzzy and probabilistic nature of these measures may also be another dimension for further research work.
Perspectives
In this manuscript, a lot of information is given about the top indexed journals.
Dr. PAVAN KUMAR
VIT Bhopal University
Read the Original
This page is a summary of: Statistical Relationship between the Parameters of Some Indexed Journals by Fuzzy Linear Regression, International Journal of Recent Technology and Engineering (IJRTE), September 2019, Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP,
DOI: 10.35940/ijrte.c5625.098319.
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