Applied Statistics and Data Science
Gespeichert in:
| Titel: | Applied Statistics and Data Science |
|---|---|
| Beschreibung: | This proceedings volume features top contributions in modern statistical methods from Statistics 2021 Canada, the 6th Annual Canadian Conference in Applied Statistics, held virtually on July 15-18, 2021. Papers are contributed from established and emerging scholars, covering cutting-edge and contemporary innovative techniques in statistics and data science. Major areas of contribution include Bayesian statistics; computational statistics; data science; semi-parametric regression; and stochastic methods in biology, crop science, ecology and engineering. It will be a valuable edited collection for graduate students, researchers, and practitioners in a wide array of applied statistical and data science methods. |
| Autoren: | Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen |
| Resource Type: | eBook. |
| Schlagworte: | Statistics, Quantitative research, Mathematical statistics—Data processing, Actuarial science |
| Categories: | MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Business Mathematics, COMPUTERS / Database Administration & Management, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Applied |
| Datenbank: | eBook Index |
| Abstract: | This proceedings volume features top contributions in modern statistical methods from Statistics 2021 Canada, the 6th Annual Canadian Conference in Applied Statistics, held virtually on July 15-18, 2021. Papers are contributed from established and emerging scholars, covering cutting-edge and contemporary innovative techniques in statistics and data science. Major areas of contribution include Bayesian statistics; computational statistics; data science; semi-parametric regression; and stochastic methods in biology, crop science, ecology and engineering. It will be a valuable edited collection for graduate students, researchers, and practitioners in a wide array of applied statistical and data science methods. |
|---|---|
| ISBN: | 9783030861322 9783030861339 |