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Applied Statistics and Data Science = Proceedings of Statistics 2021 Canada, Selected Contributions /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applied Statistics and Data Science/ edited by Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen.
Reminder of title:	Proceedings of Statistics 2021 Canada, Selected Contributions /
other author:	Chaubey, Yogendra P.
Description:	IX, 159 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics . -
Online resource:	https://doi.org/10.1007/978-3-030-86133-9
ISBN:	9783030861339

Applied Statistics and Data Science = Proceedings of Statistics 2021 Canada, Selected Contributions /
Applied Statistics and Data ScienceProceedings of Statistics 2021 Canada, Selected Contributions /[electronic resource] :edited by Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen. - 1st ed. 2021. - IX, 159 p. 1 illus.online resource. - Springer Proceedings in Mathematics & Statistics,3752194-1017 ;. - Springer Proceedings in Mathematics & Statistics,125.

1. Minimum Profile Hellinger Distance Estimation for Semiparametric Simple Linear Regression Model -- 2. A Spatiotemporal Investigation of the Cod Stock in the Northern Gulf of St-Lawrence -- 3. Modeling Obesity Rate with Spatial Auto-correlation: A Case Study -- 4. Bayesian Inference for Inverse Gaussian Data with Emphasis on the Coefficient of Variation -- 5. Estimation and Testing of a Common Coefficient of Variation from Inverse Gaussian Distributions -- 6. A Markov Model of Polygenic Inheritance -- 7. Bayes Linear Emulation of Simulated Crop Yield.

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.

ISBN: 9783030861339

Standard No.: 10.1007/978-3-030-86133-9doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Applied Statistics and Data Science = Proceedings of Statistics 2021 Canada, Selected Contributions /
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