Table of Contents
Stats, Volume 2, Issue 3 (September 2019)
- Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
- You may sign up for e-mail alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Cover Story (view full-size image) Linear correlation is a common traditional statistic quantitative analysts study. Its classical [...] Read more. Linear correlation is a common traditional statistic quantitative analysts study. Its classical version quantifies two attributes’ value pairing trends for a set of observations, whose nature can be negative, none, or positive. Researchers rarely focus on the few advantageous qualities negative correlation displays. Extending this statistic to geographic data quantifies the relationship between neighboring value pairs of a single attribute (i.e., spatial autocorrelation). Researchers rarely treat negative spatial autocorrelation, sometimes arguing that it seldom characterizes georeferenced data, making it one of the most neglected spatial statistics/econometrics concepts. This paper redresses this situation, furnishing concrete examples of it, and demonstrating its frequent coexistence as a mixture with positive spatial autocorrelation. View this paper.