Applied Statistics and Data Science Proceedings of Statistics 2021 Canada, Selected Contributions
题名:
Applied Statistics and Data Science Proceedings of Statistics 2021 Canada, Selected Contributions
ISBN:
9783030861339
版:
1st ed. 2021.
PRODUCTION_INFO:
Cham : Springer International Publishing : Imprint: Springer, 2021.
物理描述:
IX, 159 p. 1 illus. online resource.
系列:
Springer Proceedings in Mathematics & Statistics, 375
内容:
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.
摘要:
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.
附加团体著者:
语言:
英文