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Introduction to Non Parametric Methods through R Software

Introduction to Non Parametric Methods through R Software

Introduction to Non Parametric Methods through R Software
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Introduction to Non Parametric Methods through R Software Paperback / softback - 2022

by Editor Ijsmi

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Details

  • Title Introduction to Non Parametric Methods through R Software
  • Author Editor Ijsmi
  • Binding Paperback
  • Condition New
  • Pages 80
  • Volumes 1
  • Language ENG
  • Publisher Independently Published
  • Publication date 2022-10-01
  • Bookseller's Inventory # A9798355676940
  • ISBN 9798355676940
  • Weight 0.26 lbs (0.12 kg)
  • Dimensions 9 x 6 x 0.17 in (22.86 x 15.24 x 0.43 cm)
  • Category Education / Teaching
  • Quantity available 10

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Reader reviews for Introduction to Non Parametric Methods through R Software

From the publisher

Statistical Methods are widely used in Medical, Biological, Clinical, Business and Engineering field. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data.

The book mainly focuses on non-parametric aspects of Statistical methods. Non parametric methods or tests are used when the assumption about the distribution of the variables in the data set is not known or does not follow normal distribution assumption. Non parametric methods are useful to deal with ordered categorical data. When the sample size is large, statistical tests are robust due to the central limit theorem property. When sample size is small one need to use non-parametric tests. Compared to parametric tests, non-parametric tests are less powerful i.e. if we fail to reject the null hypothesis even if it is false. When the data set involves ranks or measured in ordinal scale then non-parametric tests are useful and easy to construct than parametric tests
The book uses open source R statistical software to carry out different non-parametric statistical methods with sample datasets.

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