European University Institute Library

Applied Statistics and Data Science, Proceedings of Statistics 2021 Canada, Selected Contributions, edited by Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen

eng

0

non fiction

Applied Statistics and Data Science

electronic resource

dictionaries

1291278403

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

Springer Proceedings in Mathematics & Statistics,, 375, 2194-1017Springer eBooks.

Proceedings of Statistics 2021 Canada, Selected Contributions

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.--, Provided by publisher

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