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Mathematical statistics with applications in R /

Mathematical Statistics with Applications, Second Edition, gives an up-to-date introduction to the theory of statistics with a wealth of real-world applications that will help students approach statistical problem solving in a logical manner. The book introduces many modern statistical computational...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Ramachandran, K. M. (Auteur), Tsokos, Chris P. (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: London, UK : Academic Press, imprint of Elsevier, 2015.
Édition:Second edition.
Sujets:
Accès en ligne:Texto completo
Table des matières:
  • Descriptive statistics
  • Basic concepts from probability theory
  • Additional topics in probability
  • Sampling distributions
  • Statistical estimation
  • Hypothesis testing
  • Goodness-of-fit tests and applications
  • Linear regression models
  • Design of experiments
  • Analysis of variance
  • Bayesian estimation and inference
  • Nonparametric tests
  • Empirical methods
  • Some issues in statistical applications: an overview.