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Statistics: An Introduction Using R
375.00 EGP

Statistics: An Introduction Using R

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375.00 EGP 

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Category Type
Statistics, Research & Compute
ISBN
9780470022986
Author
Mick Crawley
Publisher
John Wiley & Sons Ltd
Description:

Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear ...

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PRODUCT INFORMATION

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    Specifications

    Category Type
    Statistics, Research & Compute
    ISBN
    9780470022986
    Item EAN
    2724546159913
    People
    Author
    Mick Crawley
    People
    Publisher
    John Wiley & Sons Ltd
    Category Type
    Statistics, Research & Compute
    ISBN
    9780470022986
    Item EAN
    2724546159913
    People
    Author
    Mick Crawley
    People
    Publisher
    John Wiley & Sons Ltd
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a

    Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the authora s previous best--selling title Statistical Computing. aeo Features step--by--step instructions that assume no mathematics, statistics or programming background, helping the non--statistician to fully understand the methodology. aeo Uses a series of realistic examples, developing step--wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. aeo The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. aeo Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t--tests and chi--squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. aeo Includes numerous worked examples and exercises within each chapter. aeo Accompanied by a website featuring worked examples, data sets, exercises and solutions: http://www.imperial.ac.uk/bio/research/crawley/statistics Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology -- but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

    • Statistics: An Introduction Using R
    • Author: Mick Crawley
    • Publisher: John Wiley & Sons Ltd
    • Published: 2005
 

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