HERMES-Catalog

Nonparametric statistics with applications to science and engineering with R / Paul Kvam, Brani Vidakovic, Seong-joon Kim
(Wiley series in probability and mathematical statistics)

Publisher	Hoboken, NJ : Wiley
Year	2023
Edition	2nd ed
Authors	*Kvam, Paul H., 1962- Vidakovic, Brani, 1955- Kim, Seong-Joon, 1984-

Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Library Main Building 3rd fl. (Foreign Books)	: hardback	4100:2191	121064904R			9781119268130			Reserve	Reserve

Material Type	Books
Size	xvii, 426 p. : ill. ; 24 cm
Notes	Includes bibliographical references and indexes Summary: "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
Subjects	LCSH:Nonparametric statistics LCSH:Science -- Statistical methods All Subject Search LCSH:Engineering -- Statistical methods All Subject Search
Classification	LCC:QA278.8 DC23:519.5
Language	English
ID	1001213115
ISBN	9781119268130
NCID	BC17105599