Applied Statistics and Data Science
Language: English
Published by Springer Nature Switzerland AG, CH, 2022
Series: Book 365 of 464 - Springer Proceedings in Mathematics & Statistics
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
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Add to basketItem description from seller
Seller Inventory # LU-9783030861353
- Title
- Applied Statistics and Data Science
- Author
- Yogendra P. Chaubey
- Publisher
- Springer Nature Switzerland AG, CH
- Publication year
- 2022
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 303086135X
- ISBN 13
- 9783030861353
- Edition
- 2021 ed.
- Series
- Book 365 of 464: Springer Proceedings in Mathematics & Statistics
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.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Fassil Nebebe is a Professor of Supply Chain and Business Technology Management at Concordia University. His research focuses on statistical methodology using resampling techniques, SEM, and predictive analytics.
Dr. Arusharka Sen is an Associate Professor of Mathematics and Statistics at Concordia University. His research focuses on nonparametric function estimation and the analysis of censored data.
"About the title" may belong to another edition of this title.
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