Nonparametric statistics with applications to science and engineering with R
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Format
Edition
Second edition.
Language
English
ISBN
9781119268161, 1119268168, 9781119268154, 111926815X
Notes
Bibliography
Includes bibliographical references and index.
Description
"This book presents modern nonparametric statistics from a practical point of view. This new edition includes custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R's powerful graphic systems, such as ggplot2 package and R base graphic system. Following an introduction and a discussion of the basics of probability, statistics, and Bayesian statistics, the book discusses order statistics, Kolmogorov-Smirnov test statistic, rank tests, and designed experiments. Next, categorical data, estimating distribution functions, and density estimation is examined. Least squares regression is covered, along with curve fitting techniques, wavelets, and bootstrap sampling. Other topics examined include EM algorithm, statistical learning, nonparametric Bayes, and WinBUGS. This book will be of interest to graduate students in engineering and the physical and mathematical sciences as well as researchers who need a more comprehensive, but succinct understanding of modern nonparametric statistical methods"--,Provided by publisher.
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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Kvam, P. H., Vidakovic, B., & Kim, S. (2022). Nonparametric statistics with applications to science and engineering with R (Second edition.). Wiley.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Kvam, Paul H., 1962-, Brani Vidakovic and Seong-Joon Kim. 2022. Nonparametric Statistics With Applications to Science and Engineering With R. Wiley.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Kvam, Paul H., 1962-, Brani Vidakovic and Seong-Joon Kim. Nonparametric Statistics With Applications to Science and Engineering With R Wiley, 2022.
MLA Citation, 9th Edition (style guide)Kvam, Paul H., Brani Vidakovic, and Seong-Joon Kim. Nonparametric Statistics With Applications to Science and Engineering With R Second edition., Wiley, 2022.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
82903e10-fc1e-d2e5-a3ca-1f63c4ce61e9-eng
Grouping Information
| Grouped Work ID | 82903e10-fc1e-d2e5-a3ca-1f63c4ce61e9-eng |
|---|---|
| Full title | nonparametric statistics with applications to science and engineering with r |
| Author | kvam paul h |
| Grouping Category | book |
| Last Update | 2024-10-08 10:55:34AM |
| Last Indexed | 2024-11-22 03:29:53AM |
Book Cover Information
| Image Source | default |
|---|---|
| First Loaded | Aug 17, 2023 |
| Last Used | Nov 6, 2024 |
Marc Record
| First Detected | Mar 20, 2023 10:19:19 AM |
|---|---|
| Last File Modification Time | Mar 20, 2023 10:19:19 AM |
| Suppressed | Record had no items |
MARC Record
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| 100 | 1 | |a Kvam, Paul H.,|d 1962-|e author. | |
| 245 | 1 | 0 | |a Nonparametric statistics with applications to science and engineering with R /|c Paul Kvam, University of Richmond, Richmond, Virginia, USA, Brani Vidakovic, Texas A&M University, College Station, Texas, USA, Seong-joon Kim, Chosun University, Gwangju, South Korea. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Hoboken, NJ, USA :|b Wiley,|c [2022] | |
| 300 | |a 1 online resource. | ||
| 336 | |a text|b txt|2 rdacontent | ||
| 337 | |a computer|b c|2 rdamedia | ||
| 338 | |a online resource|b cr|2 rdacarrier | ||
| 490 | 0 | |a Wiley series in probability and statistics | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "This book presents modern nonparametric statistics from a practical point of view. This new edition includes custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R's powerful graphic systems, such as ggplot2 package and R base graphic system. Following an introduction and a discussion of the basics of probability, statistics, and Bayesian statistics, the book discusses order statistics, Kolmogorov-Smirnov test statistic, rank tests, and designed experiments. Next, categorical data, estimating distribution functions, and density estimation is examined. Least squares regression is covered, along with curve fitting techniques, wavelets, and bootstrap sampling. Other topics examined include EM algorithm, statistical learning, nonparametric Bayes, and WinBUGS. This book will be of interest to graduate students in engineering and the physical and mathematical sciences as well as researchers who need a more comprehensive, but succinct understanding of modern nonparametric statistical methods"--|c Provided by publisher. | ||
| 588 | |a Description based on print version record and CIP data provided by publisher; resource not viewed. | ||
| 590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Nonparametric statistics.|9 49115 | |
| 650 | 0 | |a Science|x Statistical methods.|9 99899 | |
| 650 | 0 | |a Engineering|x Statistical methods.|9 37279 | |
| 700 | 1 | |a Vidakovic, Brani,|d 1955-|e author. | |
| 700 | 1 | |a Kim, Seong-Joon,|d 1984-|e author. | |
| 776 | 0 | 8 | |i Print version:|a Kvam, Paul H., 1962-|t Nonparametric statistics with applications to science and engineering with R|b Second edition.|d Hoboken, NJ, USA : Wiley, [2022]|z 9781119268130|w (DLC) 2022013281 |
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