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Titlebook: Applied Statistics and Data Science; Proceedings of Stati Yogendra P. Chaubey,Salim Lahmiri,Arusharka Sen Conference proceedings 2021 The E

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發(fā)表于 2025-3-21 19:14:04 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Statistics and Data Science
期刊簡稱Proceedings of Stati
影響因子2023Yogendra P. Chaubey,Salim Lahmiri,Arusharka Sen
視頻videohttp://file.papertrans.cn/161/160161/160161.mp4
學(xué)科分類Springer Proceedings in Mathematics & Statistics
圖書封面Titlebook: Applied Statistics and Data Science; Proceedings of Stati Yogendra P. Chaubey,Salim Lahmiri,Arusharka Sen Conference proceedings 2021 The E
影響因子.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..
Pindex Conference proceedings 2021
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https://doi.org/10.1007/978-3-030-86133-9Probability and Statistics in Computer Science; Data Mining; Data Science; Data Analytics; statistical m
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978-3-030-86135-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Applied Statistics and Data Science978-3-030-86133-9Series ISSN 2194-1009 Series E-ISSN 2194-1017
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https://doi.org/10.1007/978-981-13-3813-7se variables. This paper focuses on a semiparametric linear regression model where the distribution of error term is assumed symmetric but otherwise completely unspecified. Under this model, we propose a robust estimator of the regression coefficient parameters using the minimum Hellinger distance t
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María Luján Ferreira,Gabriela Marta Tonettosition consists of a child score relating to a parent score through a normal linear model, which is parametrized by a regression and residual coefficient. The normal population and conditional distributions of descendant and ancestor scores are obtained. The conditional distributions exponentially c
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