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| Titolo: |
Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions / / edited by Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Edizione: | 1st ed. 2021. |
| Descrizione fisica: | 1 online resource (163 pages) |
| Disciplina: | 519.5 |
| Soggetto topico: | Statistics |
| Quantitative research | |
| Mathematical statistics - Data processing | |
| Actuarial science | |
| Applied Statistics | |
| Data Analysis and Big Data | |
| Statistics and Computing | |
| Statistical Theory and Methods | |
| Actuarial Mathematics | |
| Persona (resp. second.): | ChaubeyYogendra P. |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Applied statistics and data science ![]() |
| ISBN: | 3-030-86133-3 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910520068603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |