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Statistical Paradigms: Recent Advances And Reconciliations

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Title: Statistical Paradigms: Recent Advances And Reconciliations
Description: This volume consists of a collection of research articles on classical and emerging Statistical Paradigms — parametric, non-parametric and semi-parametric, frequentist and Bayesian — encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. For advances in theory, the topics include: Bayesian Inference, Directional Data Analysis, Distribution Theory, Econometrics and Multiple Testing Procedures. The areas in emerging applications include: Bioinformatics, Factorial Experiments and Linear Models, Hotspot Geoinformatics and Reliability.
Authors: Ashis Sengupta, Tapas Samanta, Ayanendranath Basu
Resource Type: eBook.
Subjects: Parameter estimation, Estimation theory
Categories: MATHEMATICS / Probability & Statistics / Bayesian Analysis, MATHEMATICS / Applied, MATHEMATICS / Probability & Statistics / Regression Analysis
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1057
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
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  Data: Statistical Paradigms: Recent Advances And Reconciliations
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  Label: Description
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  Data: This volume consists of a collection of research articles on classical and emerging Statistical Paradigms — parametric, non-parametric and semi-parametric, frequentist and Bayesian — encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. For advances in theory, the topics include: Bayesian Inference, Directional Data Analysis, Distribution Theory, Econometrics and Multiple Testing Procedures. The areas in emerging applications include: Bioinformatics, Factorial Experiments and Linear Models, Hotspot Geoinformatics and Reliability.
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  Data: <searchLink fieldCode="AR" term="%22Ashis+Sengupta%22">Ashis Sengupta</searchLink><br /><searchLink fieldCode="AR" term="%22Tapas+Samanta%22">Tapas Samanta</searchLink><br /><searchLink fieldCode="AR" term="%22Ayanendranath+Basu%22">Ayanendranath Basu</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Parameter+estimation%22">Parameter estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 519.544
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Parameter estimation
        Type: general
      – SubjectFull: Estimation theory
        Type: general
    Titles:
      – TitleFull: Statistical Paradigms: Recent Advances And Reconciliations
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ashis Sengupta
      – PersonEntity:
          Name:
            NameFull: Tapas Samanta
      – PersonEntity:
          Name:
            NameFull: Ayanendranath Basu
      – PersonEntity:
          Name:
            NameFull: Ashis Sengupta
      – PersonEntity:
          Name:
            NameFull: Tapas Samanta
      – PersonEntity:
          Name:
            NameFull: Ayanendranath Basu
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2014
            – D: 15
              M: 01
              Type: profile
              Y: 2015
          Identifiers:
            – Type: isbn-print
              Value: 9789814343954
            – Type: isbn-electronic
              Value: 9789814343961
            – Type: isbn-electronic
              Value: 9789814644112
          Numbering:
            – Type: volume
              Value: 00014
          Titles:
            – TitleFull: Statistical Paradigms: Recent Advances And Reconciliations
              Type: main
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