Mathematical statistics with applications in R /

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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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Ramachandran, K. M. (Author), Tsokos, Chris P. (Author)
Format: Electronic eBook
Language:Inglés
Published: London, UK : Academic Press, imprint of Elsevier, 2015.
Edition:Second edition.
Subjects:
Mathematical statistics.
Mathematical statistics > Data processing.
R (Computer program language)
Statistics.
Statistics as Topic
Statistique math�ematique > Informatique.
R (Langage de programmation)
Statistiques.
Online Access:Texto completo
Table of Contents:
  • 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.

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