Applied Statistics and Data Science
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| Title: | Applied Statistics and Data Science |
|---|---|
| Description: | 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. |
| Authors: | Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen |
| Resource Type: | eBook. |
| Subjects: | 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 |
| Database: | eBook Index |
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