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A course in statistics with R

  1. Title statementA course in statistics with R / Prabhanjan Tattar, Suresh Ramaiah, B.G. Manjunath.
    PublicationChichester, West Sussex : Wiley, 2016.
    Phys.des.1 online resource.
    ISBN9781119152750 (ePub)
    1119152755 (ePub)
    9781119152736 (Adobe PDF)
    1119152739 (Adobe PDF)
    9781119152743
    1119152747
    Internal Bibliographies/Indexes NoteIncludes bibliographical references and index.
    ContentsThe Preliminaries. Why R? -- The R Basics -- Data Preparation and Other Tricks -- Exploratory Data Analysis -- Probability and Inference. Probability Theory -- Probability and Sampling Distributions -- Parametric Inference -- Nonparametric Inference -- Bayesian Inference -- Stochastic Processes and Monte Carlo. Stochastic Processes -- Monte Carlo Computations -- Linear Models. Linear Regression Models -- Experimental Designs -- Multivariate Statistical Analysis - I -- Multivariate Statistical Analysis - II -- Categorical Data Analysis -- Generalized Linear Models -- Appendix A: Open Source Software: An Epilogue -- Appendix B: The Statistical Tables.
    Notes to AvailabilityPřístup pouze pro oprávněné uživatele
    Another responsib. Ramaiah, Suresh, 1979-
    Manjunath, B. G., 1981-
    Subj. Headings Mathematical statistics - Data processing. * R (Computer program language) * Mathematical statistics - Data processing. * R (Computer program language) * MATHEMATICS / Applied * MATHEMATICS / Probability & Statistics / General
    Form, Genre elektronické knihy electronic books
    CountryAnglie
    Languageangličtina
    Document kindElectronic books
    URLPlný text pro studenty a zaměstnance UPOL
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    The Preliminaries. Why R? -- The R Basics -- Data Preparation and Other Tricks -- Exploratory Data Analysis -- Probability and Inference. Probability Theory -- Probability and Sampling Distributions -- Parametric Inference -- Nonparametric Inference -- Bayesian Inference -- Stochastic Processes and Monte Carlo. Stochastic Processes -- Monte Carlo Computations -- Linear Models. Linear Regression Models -- Experimental Designs -- Multivariate Statistical Analysis - I -- Multivariate Statistical Analysis - II -- Categorical Data Analysis -- Generalized Linear Models -- Appendix A: Open Source Software: An Epilogue -- Appendix B: The Statistical Tables.

Number of the records: 1  

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