Applied Statistics and Data Science: Proceedings of Statistics 2021 Canada, Selected Contributions (Springer Proceedings in Mathematics & Statistics, 375, Band 375) - Hardcover

 
9783030861322: Applied Statistics and Data Science: Proceedings of Statistics 2021 Canada, Selected Contributions (Springer Proceedings in Mathematics & Statistics, 375, Band 375)
Hardcover
ISBN 10: 3030861325 ISBN 13: 9783030861322
Verlag: Springer, 2021

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

​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.


Dr. Salim Lahmiri is an Assistant Professor of Supply Chain and Business Technology Management at Concordia University. He serves as associate editor for Expert Systems with Applications; Machine Learning with Applications; Chaos, Solitons & Fractals; Entropy; and Machine Learning & Knowledge Extraction. Dr. Lahmiri's research focuses on artificial intelligence, intelligent systems, data science, predictive analytics, and pattern recognition.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
3030861325
ISBN 13 
9783030861322
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
168
Herausgeber
Chaubey Yogendra P., Lahmiri Salim, Nebebe Fassil, Sen Arusharka
Kontakt zum Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783030861353: Applied Statistics and Data Science: Proceedings of Statistics 2021 Canada, Selected Contributions (Springer Proceedings in Mathematics & Statistics, Band 375)

Vorgestellte Ausgabe

ISBN 10:  303086135X ISBN 13:  9783030861353
Verlag: Springer, 2022
Softcover