An Introduction to Nonparametric Statistics
Author:   John E. Kolassa
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367194840


Pages:   224
Publication Date:   29 September 2020
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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An Introduction to Nonparametric Statistics


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Full Product Details

Author:   John E. Kolassa
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.467kg
ISBN:  

9780367194840


ISBN 10:   0367194848
Pages:   224
Publication Date:   29 September 2020
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Background 2. One-Sample Nonparametric Inference 3. Two-Sample Testing 4. Methods for Three or More Groups 5. Group Differences with Blocking 6. Bivariate Methods 7. Multivariate Analysis 8. Density Estimation 9. Regression Function Estimates 10. Resampling Techniques Appendices

Reviews

'In my opinion, nonparametric tests, proposed in the book can be applied in a wide range of scientific fields, and scientists who are not familiar with mathematics but have a basic knowledge of working in R can find many useful techniques for analysing their research data.' -Maria Ivanchuk, International Society for Clinical Biostatistics, 71, 2021


Author Information

John Kolassa is Professor of Statistics and Biostatistics, Rutgers, the State University of New Jersey.

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