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Nonparametric statistical methods /
~
Chicken, Eric, (1963-)
Nonparametric statistical methods /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Nonparametric statistical methods /Myles Hollander, Douglas A. Wolfe, Eric Chicken.
作者:
Hollander, Myles.
其他作者:
Wolfe, Douglas A.
出版者:
Hoboken, NJ :John Wiley & Sons,c2014.
面頁冊數:
xiii, 819 p. :ill. ;27 cm.
標題:
Nonparametric statistics.
ISBN:
9780470387375 (hbk.) :
Nonparametric statistical methods /
Hollander, Myles.
Nonparametric statistical methods /
Myles Hollander, Douglas A. Wolfe, Eric Chicken. - 3rd ed. - Hoboken, NJ :John Wiley & Sons,c2014. - xiii, 819 p. :ill. ;27 cm. - Wiley series in probability and statistics.
Includes bibliographical references (p. 763-790) and indexes.
"Written by leading statisticians, this new edition has been completely updated to include additional modern topics and procedures, more real-world data sets, and more problems from real-life situations. Incorporating the R software program, this user-friendly book provides readers with an arsenal of nonparametric techniques, helping them develop the insight needed to choose appropriate procedures for various situations. It features five new chapters with added-on topics including Density Estimation, Kernel Regression, Nonparametric Regression, Ranked-Set Sampling, and Bayesian Nonparametrics"--
ISBN: 9780470387375 (hbk.) :NT$3706
LCCN: 2013007061Subjects--Topical Terms:
182700
Nonparametric statistics.
LC Class. No.: QA278.8 / .H65 2014
Dewey Class. No.: 519.5
Nonparametric statistical methods /
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John Wiley & Sons,
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"Written by leading statisticians, this new edition has been completely updated to include additional modern topics and procedures, more real-world data sets, and more problems from real-life situations. Incorporating the R software program, this user-friendly book provides readers with an arsenal of nonparametric techniques, helping them develop the insight needed to choose appropriate procedures for various situations. It features five new chapters with added-on topics including Density Estimation, Kernel Regression, Nonparametric Regression, Ranked-Set Sampling, and Bayesian Nonparametrics"--
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"In this third edition we have improved the eleven chapters of the second edition and added five new chapters. Also organized all of the R programs used in this third edition into a documented collection that is formally registered as an R package specifically linked to this third edition. "--
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