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Applied statistics and data sciencep...
~
(1998 :)
Applied statistics and data scienceproceedings of Statistics 2021 Canada, selected contributions /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Applied statistics and data scienceedited by Yogendra P. Chaubey ... [et al.].
其他題名:
proceedings of Statistics 2021 Canada, selected contributions /
其他作者:
Chaubey, Yogendra P.
團體作者:
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
ix, 159 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Mathematical statistics
電子資源:
https://doi.org/10.1007/978-3-030-86133-9
ISBN:
9783030861339$q(electronic bk.)
Applied statistics and data scienceproceedings of Statistics 2021 Canada, selected contributions /
Applied statistics and data science
proceedings of Statistics 2021 Canada, selected contributions /[electronic resource] :edited by Yogendra P. Chaubey ... [et al.]. - Cham :Springer International Publishing :2021. - ix, 159 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v. 3752194-1017 ;. - Springer proceedings in mathematics & statistics ;v.19..
1. Minimum Profile Hellinger Distance Estimation for Semiparametric Simple Linear Regression Model -- 2. A Spatiotemporal Investigation of the Cod Stock in the Northern Gulf of St-Lawrence -- 3. Modeling Obesity Rate with Spatial Auto-correlation: A Case Study -- 4. Bayesian Inference for Inverse Gaussian Data with Emphasis on the Coefficient of Variation -- 5. Estimation and Testing of a Common Coefficient of Variation from Inverse Gaussian Distributions -- 6. A Markov Model of Polygenic Inheritance -- 7. Bayes Linear Emulation of Simulated Crop Yield.
This proceedings volume features top contributions in modern statistical methods from Statistics 2021 Canada, the 6th Annual Canadian Conference in Applied Statistics, held virtually on July 15-18, 2021. Papers are contributed from established and emerging scholars, covering cutting-edge and contemporary innovative techniques in statistics and data science. Major areas of contribution include Bayesian statistics; computational statistics; data science; semi-parametric regression; and stochastic methods in biology, crop science, ecology and engineering. It will be a valuable edited collection for graduate students, researchers, and practitioners in a wide array of applied statistical and data science methods.
ISBN: 9783030861339$q(electronic bk.)
Standard No.: 10.1007/978-3-030-86133-9doiSubjects--Topical Terms:
182294
Mathematical statistics
LC Class. No.: QA276.A1 / A55 2021
Dewey Class. No.: 519.5
Applied statistics and data scienceproceedings of Statistics 2021 Canada, selected contributions /
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