Machine Learning and Data Mining Approaches to Climate Science
Springer International Publishing
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Timeline
Mendeley readers
| Chapter title |
Comparison of Linear and Tobit Modeling of Downscaled Daily Precipitation over the Missouri River Basin Using MIROC5
|
|---|---|
| Chapter number | 4 |
| Book title |
Machine Learning and Data Mining Approaches to Climate Science
|
| Published by |
Springer, Cham, January 2015
|
| DOI | 10.1007/978-3-319-17220-0_4 |
| Book ISBNs |
978-3-31-917219-4, 978-3-31-917220-0
|
| Authors |
Sai K. Popuri, Nagaraj K. Neerchal, Amita Mehta |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 40% |
| Other | 1 | 20% |
| Student > Master | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1 | 20% |
| Earth and Planetary Sciences | 1 | 20% |
| Physics and Astronomy | 1 | 20% |
| Engineering | 1 | 20% |
| Unknown | 1 | 20% |