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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



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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 Visualizza cluster
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  Visualizza cluster
ISBN: 3-030-86133-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910520068603321
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Serie: Springer Proceedings in Mathematics & Statistics, . 2194-1017 ; ; 375