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Rank-based methods for shrinkage and...

Saleh, A. K. Md. Ehsanes,

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Rank-based methods for shrinkage and selection : = with application to machine learning /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Rank-based methods for shrinkage and selection :/ A. K. Md. Ehsanes Saleh ... [et al.].
Reminder of title:	with application to machine learning /
other author:	Saleh, A. K. Md. Ehsanes,
Published:	Hoboken, NJ :John Wiley & Sons, Inc., : 2022.,
Description:	xxxi, 448 p. :ill. ;24 cm.
[NT 15003449]:	Introduction to rank-based regression -- Characteristics of rank-based penalty estimators -- Location and simple linear models -- Analysis of variance (ANOVA) -- Seemingly unrelated simple linear models -- Multiple linear regression models -- Partially linear multiple regression model -- Liu regression models -- Autoregressive models -- High-dimensional models -- Rank-based logistic regression -- Rank-based neural networks.
Subject:	Regression analysis. -
ISBN:	9781119625391

Rank-based methods for shrinkage and selection : = with application to machine learning /
Rank-based methods for shrinkage and selection :with application to machine learning /A. K. Md. Ehsanes Saleh ... [et al.]. - Hoboken, NJ :John Wiley & Sons, Inc.,2022. - xxxi, 448 p. :ill. ;24 cm.

Includes bibliographical references and indexes.

Introduction to rank-based regression -- Characteristics of rank-based penalty estimators -- Location and simple linear models -- Analysis of variance (ANOVA) -- Seemingly unrelated simple linear models -- Multiple linear regression models -- Partially linear multiple regression model -- Liu regression models -- Autoregressive models -- High-dimensional models -- Rank-based logistic regression -- Rank-based neural networks.

ISBN: 9781119625391US139.95

LCCN: 2021042428Subjects--Topical Terms:

529831
Regression analysis.

LC Class. No.: QA278.2 / .R253 2022

Dewey Class. No.: 519.5/36

Rank-based methods for shrinkage and selection : = with application to machine learning /
LDR:01326cam a2200253 a 4500 001 2341192
003 OCoLC
005 20241017221330.0
008 240829s2022 njua b 001 0 eng
010 $a 2021042428
020 $a 9781119625391 $q (hbk.) : $c US139.95
020 $a 1119625394 $q (hbk.)
020 $z 9781119625414 $q (ebook)
020 $z 9781119625421 $q (ebook)
020 $z 9781119625438 $q (ebook)
035 $a (OCoLC)1284921097 $z (OCoLC)1283900292
040 $a LBSOR/DLC $b eng $c DLC $d BDX $d OCLCF $d OCLCO $d UKMGB $d YDX $d OCLCO $d OCLCL
042 $a pcc
050 0 0 $a QA278.2 $b .R253 2022
082 0 0 $a 519.5/36 $2 23/eng/20211105
245 0 0 $a Rank-based methods for shrinkage and selection : $b with application to machine learning / $c A. K. Md. Ehsanes Saleh ... [et al.].
260 # $a Hoboken, NJ : $b John Wiley & Sons, Inc., $c 2022.
300 $a xxxi, 448 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and indexes.
505 0 # $a Introduction to rank-based regression -- Characteristics of rank-based penalty estimators -- Location and simple linear models -- Analysis of variance (ANOVA) -- Seemingly unrelated simple linear models -- Multiple linear regression models -- Partially linear multiple regression model -- Liu regression models -- Autoregressive models -- High-dimensional models -- Rank-based logistic regression -- Rank-based neural networks.
650 # 0 $a Regression analysis. $3 529831
650 # 0 $a Big data. $3 2045508
650 # 0 $a Machine learning. $3 533906
700 1 # $a Saleh, A. K. Md. Ehsanes, $e author. $3 3709570