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An introduction to nonparametric statistics

By: Material type: TextTextSeries: Texts in statistical sciencePublication details: CRC Press 2021 Boca RatonDescription: xi, 211p. Includes indexISBN:
  • 9780367194840
Subject(s): DDC classification:
  • 519.5 K6I6
Summary: This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank-based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students. https://www.routledge.com/An-Introduction-to-Nonparametric-Statistics/Kolassa/p/book/9780367194840
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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 28-B / Slot 1413 (0 Floor, East Wing) Non-fiction General Stacks 519.5 K6I6 (Browse shelf(Opens below)) Available 204835

Table of contents

Background
One-Sample Nonparametric Inference
Two-Sample Testing
Methods for Three or More Groups
Group Differences with Blocking
Bivariate Methods
Multivariate Analysis
Density Estimation
Regression Function Estimates
Resampling Techniques
Appendices

This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank-based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students.

https://www.routledge.com/An-Introduction-to-Nonparametric-Statistics/Kolassa/p/book/9780367194840

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