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Applied Statistics and Data Science - Proceedings of Statistics 2021 Canada, Selected Contributions (Hardcover, 1st ed. 2021) Loot Price: R4,896
Discovery Miles 48 960
Repayment Terms: R459 pm x 12*
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Applied Statistics and Data Science - Proceedings of Statistics 2021 Canada, Selected Contributions (Hardcover, 1st ed. 2021):...

Applied Statistics and Data Science - Proceedings of Statistics 2021 Canada, Selected Contributions (Hardcover, 1st ed. 2021)

Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen

Series: Springer Proceedings in Mathematics & Statistics, 375

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Loot Price R4,896 Discovery Miles 48 960 | Repayment Terms: R459 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Proceedings in Mathematics & Statistics, 375
Release date: December 2021
First published: 2021
Editors: Yogendra P. Chaubey • Salim Lahmiri • Fassil Nebebe • Arusharka Sen
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 159
Edition: 1st ed. 2021
ISBN-13: 978-3-03-086132-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN: 3-03-086132-5
Barcode: 9783030861322

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