A course in statistics with R /

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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 Maste...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Tattar, Prabhanjan, 1979-
Otros Autores: Ramaiah, Suresh, 1979-, Manjunath, B. G., 1981-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex : Wiley, 2016.
Colección:Online access with DDA: Askews (Maths)
Temas:
Mathematical statistics > Data processing.
R (Computer program language)
Statistique mathématique > Informatique.
R (Langage de programmation)
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Mathematical statistics > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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