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Applied Statistics and Data Science

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Název: Applied Statistics and Data Science
Popis: 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.
Autoři: Yogendra P. Chaubey, Salim Lahmiri, Fassil Nebebe, Arusharka Sen
Resource Type: eBook.
Témata: Statistics, Quantitative research, Mathematical statistics—Data processing, Actuarial science
Categories: MATHEMATICS / Probability & Statistics / General, BUSINESS & ECONOMICS / Business Mathematics, COMPUTERS / Database Administration & Management, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Applied
Databáze: eBook Index
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  Availability: 0
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DbLabel: eBook Index
An: 3133033
RelevancyScore: 956
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 955.975708007813
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  Data: 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.
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        Scheme: ddc
        Type: prePub
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      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Quantitative research
        Type: general
      – SubjectFull: Mathematical statistics—Data processing
        Type: general
      – SubjectFull: Actuarial science
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      – TitleFull: Applied Statistics and Data Science
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 04
              M: 01
              Type: profile
              Y: 2022
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              Value: 9783030861339
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