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Mendeley readers
| Chapter title |
Moving averages
|
|---|---|
| Chapter number | 15 |
| Book title |
Heavy-Tailed Time Series
|
| Published by |
Springer, New York, NY, January 2020
|
| DOI | 10.1007/978-1-0716-0737-4_15 |
| Book ISBNs |
978-1-07-160735-0, 978-1-07-160737-4
|
| Authors |
Rafał Kulik, Philippe Soulier |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 6 | 3% |
| United Kingdom | 3 | 1% |
| Australia | 2 | <1% |
| India | 2 | <1% |
| Switzerland | 1 | <1% |
| South Africa | 1 | <1% |
| Latvia | 1 | <1% |
| Portugal | 1 | <1% |
| Slovakia | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 211 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 36 | 16% |
| Student > Ph. D. Student | 34 | 15% |
| Student > Master | 34 | 15% |
| Researcher | 17 | 7% |
| Other | 12 | 5% |
| Other | 35 | 15% |
| Unknown | 64 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 41 | 18% |
| Computer Science | 25 | 11% |
| Agricultural and Biological Sciences | 22 | 9% |
| Environmental Science | 14 | 6% |
| Economics, Econometrics and Finance | 12 | 5% |
| Other | 52 | 22% |
| Unknown | 66 | 28% |