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Mathematical Statistics with Applications in R

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Title: Mathematical Statistics with Applications in R
Description: Mathematical Statistics with Applications in R, Third Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods, such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem-solving in a logical manner. Step-by-step procedure to solve real problems make the topics very accessible. Presents step-by-step procedures to solve real problems, making each topic more accessible Provides updated application exercises in each chapter, blending theory and modern methods with the use of R Includes new chapters on Categorical Data Analysis and Extreme Value Theory with Applications Wide array coverage of ANOVA, Nonparametric, Bayesian and empirical methods
Authors: Kandethody M. Ramachandran, Chris P. Tsokos
Resource Type: eBook.
Subjects: Mathematical statistics--Data processing, Mathematical statistics, R (Computer program language)
Categories: MATHEMATICS / Probability & Statistics / General
Database: eBook Collection (EBSCOhost)
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Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1103
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
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  Data: Mathematical Statistics with Applications in R
– Name: Abstract
  Label: Description
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  Data: Mathematical Statistics with Applications in R, Third Edition, offers a modern calculus-based theoretical introduction to mathematical statistics and applications. The book covers many modern statistical computational and simulation concepts that are not covered in other texts, such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods, such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. By combining discussion on the theory of statistics with a wealth of real-world applications, the book helps students to approach statistical problem-solving in a logical manner. Step-by-step procedure to solve real problems make the topics very accessible. Presents step-by-step procedures to solve real problems, making each topic more accessible Provides updated application exercises in each chapter, blending theory and modern methods with the use of R Includes new chapters on Categorical Data Analysis and Extreme Value Theory with Applications Wide array coverage of ANOVA, Nonparametric, Bayesian and empirical methods
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  Data: <searchLink fieldCode="DE" term="%22Mathematical+statistics--Data+processing%22">Mathematical statistics--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+statistics%22">Mathematical statistics</searchLink><br /><searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink>
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      – Code: 519.5
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Mathematical statistics--Data processing
        Type: general
      – SubjectFull: Mathematical statistics
        Type: general
      – SubjectFull: R (Computer program language)
        Type: general
    Titles:
      – TitleFull: Mathematical Statistics with Applications in R
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Kandethody M. Ramachandran
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          Name:
            NameFull: Chris P. Tsokos
      – PersonEntity:
          Name:
            NameFull: Kandethody M. Ramachandran
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            NameFull: Chris P. Tsokos
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 14
              M: 03
              Type: profile
              Y: 2026
          Identifiers:
            – Type: isbn-print
              Value: 9780128178157
            – Type: isbn-electronic
              Value: 9780128178164
          Titles:
            – TitleFull: Mathematical Statistics with Applications in R
              Type: main
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