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Probability and Statistics with R

By: (Author) Alan T. Arnholt , (Author) Ana F. Militino , (Author) Maria Dolores Ugarte

Manufacture on Demand

Ksh 20,200.00

Format: Hardback or Cased Book

ISBN-10: 1466504390

ISBN-13: 9781466504394

Edition Number: 2

Publisher: Taylor & Francis Inc

Imprint: CRC Press Inc

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 21st, 2015

Print length: 984 Pages

Weight: 1,912 grams

Dimensions (height x width x thickness): 18.70 x 26.20 x 5.00 cms

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  • Description

  • Reviews

Since the publication of the popular first edition, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. This second edition explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs. Along with adding new examples and exercises, this edition improves the existing examples, problems, concepts, data, and functions. Data sets, R functions, and more are available online.

Cohesively Incorporates Statistical Theory with R Implementation

Since the publication of the popular first edition of this comprehensive textbook, the contributed R packages on CRAN have increased from around 1,000 to over 6,000. Designed for an intermediate undergraduate course, Probability and Statistics with R, Second Edition explores how some of these new packages make analysis easier and more intuitive as well as create more visually pleasing graphs.

New to the Second Edition

  • Improvements to existing examples, problems, concepts, data, and functions
  • New examples and exercises that use the most modern functions
  • Coverage probability of a confidence interval and model validation
  • Highlighted R code for calculations and graph creation

Gets Students Up to Date on Practical Statistical Topics

Keeping pace with today’s statistical landscape, this textbook expands your students’ knowledge of the practice of statistics. It effectively links statistical concepts with R procedures, empowering students to solve a vast array of real statistical problems with R.

Web Resources

A supplementary website offers solutions to odd exercises and templates for homework assignments while the data sets and R functions are available on CRAN.


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