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100   $a20211208d2021      u|         0
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181   $ctxt$2rdacontent
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200 10$aApplied Statistics and Data Science $eProceedings of Statistics 2021 Canada, Selected Contributions /$fedited by Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen
205   $a1st ed. 2021.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021.
215   $a1 online resource (163 pages)
225 1 $aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v375
311 08$aPrint version: Chaubey, Yogendra P. Applied Statistics and Data Science Cham : Springer International Publishing AG,c2021 9783030861322 
320   $aIncludes bibliographical references and index.
327   $a1. 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.
330   $aThis proceedings volume features top contributions in modern statistical methods from Statistics 2021 Canada, the 6th Annual Canadian Conference in Applied Statistics, held virtually on July 15-18, 2021. Papers are contributed from established and emerging scholars, covering cutting-edge and contemporary innovative techniques in statistics and data science. Major areas of contribution include Bayesian statistics; computational statistics; data science; semi-parametric regression; and stochastic methods in biology, crop science, ecology and engineering. It will be a valuable edited collection for graduate students, researchers, and practitioners in a wide array of applied statistical and data science methods.
410  0$aSpringer Proceedings in Mathematics & Statistics,$x2194-1017 ;$v375
606   $aStatistics
606   $aQuantitative research
606   $aMathematical statistics$xData processing
606   $aStatistics
606   $aActuarial science
606   $aApplied Statistics
606   $aData Analysis and Big Data
606   $aStatistics and Computing
606   $aStatistical Theory and Methods
606   $aActuarial Mathematics
615  0$aStatistics.
615  0$aQuantitative research.
615  0$aMathematical statistics$xData processing.
615  0$aStatistics.
615  0$aActuarial science.
615 14$aApplied Statistics.
615 24$aData Analysis and Big Data.
615 24$aStatistics and Computing.
615 24$aStatistical Theory and Methods.
615 24$aActuarial Mathematics.
676   $a519.5
702   $aChaubey$b Yogendra P.
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910520068603321
996   $aApplied statistics and data science$92909945
997   $aUNINA