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Applied Statistics and Data Science - Proceedings of Statistics 2021 Canada, Selected Contributions (Hardcover, 1st ed. 2021):... Applied Statistics and Data Science - Proceedings of Statistics 2021 Canada, Selected Contributions (Hardcover, 1st ed. 2021)
Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen
R4,687 Discovery Miles 46 870 Ships in 18 - 22 working days

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.

Applied Statistics and Data Science - Proceedings of Statistics 2021 Canada, Selected Contributions (Paperback, 1st ed. 2021):... Applied Statistics and Data Science - Proceedings of Statistics 2021 Canada, Selected Contributions (Paperback, 1st ed. 2021)
Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen
R4,659 Discovery Miles 46 590 Ships in 18 - 22 working days

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.

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