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Applied Statistics and Data Science: Proceedings of Statistics 2021 Canada, Selected Contributions: 375 (Springer Proceedings in Mathematics & Statistics, 375) - Hardcover
Synopsis
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. Yogendra P. Chaubey is a Professor of Mathematics and Statistics at Concordia University. His research focus is in statistical methodology, mostly concentrated in the area of nonparametric smoothing.
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.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2021
- ISBN 10 3030861325
- ISBN 13 9783030861322
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages168
- EditorChaubey Yogendra P., Lahmiri Salim, Nebebe Fassil, Sen Arusharka
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Applied Statistics and Data Science. Proceedings of Statistics 2021 Canada, Selected Contributions.
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Cham, Springer International Publishing : Imprint: Springer., 2021
ISBN 10: 3030861325
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1st ed. 2021. IX, 159 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Springer Proceedings in Mathematics & Statistics, 375. Sprache: Englisch. Seller Inventory # 7574BB
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Applied Statistics and Data Science: Proceedings of Statistics 2021 Canada, Selected Contributions: 375 (Springer Proceedings in Mathematics & Statistics)
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Hardcover. Condition: Wie neu. 1. Auflage. privately owned book. as new from the publisher. -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. 176 pp. Englisch. Seller Inventory # ABE-1691074470812
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Applied Statistics and Data Science: Proceedings of Statistics 2021 Canada, Selected Contributions (Springer Proceedings in Mathematics & Statistics, 375)
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Applied Statistics and Data Science
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Yogendra P. Chaubey is a Professor of Mathematics and Statistics at Concordia University. His research focus is in statistical methodology, mostly concentrated in the area of nonparametric smoothing.Dr. Fassil Nebebe is. Seller Inventory # 492756295
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Applied Statistics and Data Science
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 176 pp. Englisch. Seller Inventory # 9783030861322
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Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions
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ISBN 10: 3030861325
ISBN 13: 9783030861322
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783030861322
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Applied Statistics and Data Science: Proceedings of Statistics 2021 Canada, Selected Contributions (Springer Proceedings in Mathematics & Statistics, 375)
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