Applied Statistics and Data Science
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.
|Reihe||Springer Proceedings in Mathematics & Statistics|
|Ausgabe||1st ed. 2021|
|Genre||Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik|
|Verlag||Springer International Publishing|
|Herausgegeben von||Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen|