Name
Title | ||
|---|---|---|
An improved grey dynamic trend incidence model with application to factors causing smog weather. |
Abstract | ||
|---|---|---|
•Trigonometric functions are used to measure the degree of the grey trend incidence.•Dynamic connections between two data sets can be obtained over each data point.•The Periodic fluctuation can be overcome by allowing the length of time t to change.•Two Extended Models utilized to the panel data are presented. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.eswa.2017.06.012 | Expert Systems with Applications |
Keywords | Field | DocType |
Grey incidence,Trend relationship,Dynamic analysis,Panel data,Smog weather | Panel data,Data mining,Data set,Computer science,Matrix (mathematics),Gray (horse) | Journal |
Volume | Issue | ISSN |
87 | C | 0957-4174 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun-Jie Wang | 1 | 3 | 1.44 |
| K. W. Hipel | 2 | 812 | 116.70 |
| Yaoguo Dang | 3 | 30 | 12.14 |