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Applied Statistics and Data Science

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About

Applied Statistics and Data Science 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.

About This Edition

ISBN: 9783030861353
Publication date:
Author: Yogendra P Chaubey
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 159 pages
Series: Springer Proceedings in Mathematics & Statistics
Genres: Probability and statistics
Databases
Mathematical and statistical software
Insurance and actuarial studies

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