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Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions / edited by Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen.
Springer Nature - Springer Mathematics and Statistics eBooks 2021 English International Available online
View online- Format:
- Book
- Series:
- Springer Proceedings in Mathematics & Statistics, 2194-1017 ; 375
- Language:
- English
- Subjects (All):
- Statistics.
- Quantitative research.
- Mathematical statistics--Data processing.
- Mathematical statistics.
- Actuarial science.
- Applied Statistics.
- Data Analysis and Big Data.
- Statistics and Computing.
- Statistical Theory and Methods.
- Actuarial Mathematics.
- Local Subjects:
- Applied Statistics.
- Data Analysis and Big Data.
- Statistics and Computing.
- Statistical Theory and Methods.
- Actuarial Mathematics.
- Physical Description:
- 1 online resource (163 pages)
- Edition:
- 1st ed. 2021.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Includes bibliographical references and index.
- Other Format:
- Print version: Chaubey, Yogendra P. Applied Statistics and Data Science
- ISBN:
- 3-030-86133-3
- OCLC:
- 1291278403
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