rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: course in statistics with R
  name:
    name part: Tattar, Prabhanjan
    name part: 1979-
    role:
      role term: creator
  name:
    name part: Ramaiah, Suresh
    name part: 1979-
  name:
    name part: Manjunath, B. G.
    name part: 1981-
  name:
    name part: Knovel (Firm)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Integrates the theory and applications of statistics using R A Course in Statistics with R has been written to bridge the gap between theory and applications and explain how mathematical expressions are converted into R programs. The book has been primarily designed as a useful companion for a Masters student during each semester of the course, but will also help applied statisticians in revisiting the underpinnings of the subject. With this dual goal in mind, the book begins with R basics and quickly covers visualization and exploratory analysis. Probability and statistical inference, inclusive of classical, nonparametric, and Bayesian schools, is developed with definitions, motivations, mathematical expression and R programs in a way which will help the reader to understand the mathematical development as well as R implementation. Linear regression models, experimental designs, multivariate analysis, and categorical data analysis are treated in a way which makes effective use of visualization techniques and the related statistical techniques underlying them through practical applications, and hence helps the reader to achieve a clear understanding of the associated statistical models.
  table of contents: 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.
  note: Prabhanjan Tattar, Suresh Ramaiah, B.G. Manjunath.
  note: Includes bibliographical references and index.
  subject:
    topic: Mathematical statistics
    topic: Data processing
  subject:
    topic: R (Computer program language)
  subject:
    topic: Statistique mathématique
    topic: Informatique
  subject:
    topic: R (Langage de programmation)
  subject:
    topic: MATHEMATICS
    topic: Applied
  subject:
    topic: MATHEMATICS
    topic: Probability & Statistics
    topic: General
  subject:
    topic: Mathematical statistics
    topic: Data processing
  subject:
    topic: R (Computer program language)
  classification: QA276.45.R3
  classification: 519.50285/511
  related item:
    title info:
      title: Course in statistics with R
    name:
      name part: Tattar, Prabhanjan, 1979-
    origin info:
      publisher: Chichester, West Sussex : John Wiley & Sons, Inc., 2016
    identifier: (DLC) 2015044550
  related item:
    title info:
      title: Online access with DDA: Askews (Maths)
  identifier: 9781523114917
  identifier: 1523114916
  identifier: 9781119152750
  identifier: 1119152755
  identifier: 9781119152736
  identifier: 1119152739
  identifier: 9781119152743
  identifier: 1119152747
  identifier: 1119152720
  identifier: 9781119152729
  identifier: 2015046719
  identifier: CL0500000739 Safari Books Online
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 151125
    record change date: 20230110224100.4
    record identifier: in00004638109
    language of cataloging:
      language term: eng