東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Multiple imputation of missing data ...

Zhang, Guangyu ((Statistician),)

Linked to FindBook

Google Book

Amazon

博客來

Multiple imputation of missing data in practice : = basic theory and analysis strategies /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multiple imputation of missing data in practice :/ Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu.
Reminder of title:	basic theory and analysis strategies /
Author:	He, Yulei,
other author:	Zhang, Guangyu
Published:	Boca Raton, FL :CRC Press, : 2022.,
Description:	xviii, 476 p. :ill. ;25 cm.
[NT 15003449]:	Statistical background -- Multiple imputation analysis : basics -- Multiple imputation for univariate missing data : parametric methods -- Multiple imputation for univariate missing data : robust methods -- Multiple imputation for multivariate missing data : the joint modeling approach -- Multiple imputation for multivariate missing data : the fully conditional specification approach -- Multiple imputation in survival data analysis -- Multiple imputation for longitudinal data -- Multiple imputation analysis for complex survey data -- Multiple imputation for data subject to measurement error -- Multiple imputation diagnostics -- Multiple imputation analysis for nonignorable missing data -- Some advanced topics.
Subject:	Missing observations (Statistics) -
ISBN:	9781498722063

Multiple imputation of missing data in practice : = basic theory and analysis strategies /
He, Yulei,

Multiple imputation of missing data in practice :basic theory and analysis strategies /Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu. - 1st ed. - Boca Raton, FL :CRC Press,2022. - xviii, 476 p. :ill. ;25 cm.

Includes bibliographical references and index.

Statistical background -- Multiple imputation analysis : basics -- Multiple imputation for univariate missing data : parametric methods -- Multiple imputation for univariate missing data : robust methods -- Multiple imputation for multivariate missing data : the joint modeling approach -- Multiple imputation for multivariate missing data : the fully conditional specification approach -- Multiple imputation in survival data analysis -- Multiple imputation for longitudinal data -- Multiple imputation analysis for complex survey data -- Multiple imputation for data subject to measurement error -- Multiple imputation diagnostics -- Multiple imputation analysis for nonignorable missing data -- Some advanced topics.

ISBN: 9781498722063GBP82.99

LCCN: 2021026332Subjects--Topical Terms:

566005
Missing observations (Statistics)

LC Class. No.: QA278 / .H428 2022

Dewey Class. No.: 519.5/3

Multiple imputation of missing data in practice : = basic theory and analysis strategies /
LDR:01894cam a2200301 a 450 001 2319536
003 OCoLC
005 20231107205740.0
008 230908s2022 flua b 001 0 eng
010 $a 2021026332
020 $a 9781498722063 $q (hbk.) : $c GBP82.99
020 $a 1498722067 $q (hbk.)
020 $a 9781032136899 $q (pbk.)
020 $a 1032136898 $q (pbk.)
020 $z 9780429156397 $q (electronic book)
020 $z 9780429530975 $q (electronic publication)
020 $z 9781498722070 $q (electronic book)
035 $a (OCoLC)1269422024 $z (OCoLC)1269404210
040 $a LBSOR/DLC $b eng $c DLC $d OCLCO $d UKMGB $d OCLCF $d BDX $d YDX $d OCLCO
042 $a pcc
050 0 0 $a QA278 $b .H428 2022
082 0 0 $a 519.5/3 $2 23
100 1 $a He, Yulei, $e author. $3 3641027
245 1 0 $a Multiple imputation of missing data in practice : $b basic theory and analysis strategies / $c Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu.
250 $a 1st ed.
260 # $a Boca Raton, FL : $b CRC Press, $c 2022.
300 $a xviii, 476 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references and index.
505 0 # $a Statistical background -- Multiple imputation analysis : basics -- Multiple imputation for univariate missing data : parametric methods -- Multiple imputation for univariate missing data : robust methods -- Multiple imputation for multivariate missing data : the joint modeling approach -- Multiple imputation for multivariate missing data : the fully conditional specification approach -- Multiple imputation in survival data analysis -- Multiple imputation for longitudinal data -- Multiple imputation analysis for complex survey data -- Multiple imputation for data subject to measurement error -- Multiple imputation diagnostics -- Multiple imputation analysis for nonignorable missing data -- Some advanced topics.
650 # 0 $a Missing observations (Statistics) $3 566005
650 # 0 $a Multiple imputation (Statistics) $3 648196
700 1 # $a Zhang, Guangyu $c (Statistician), $e author. $3 3641028
700 1 # $a Hsu, Chiu-Hsieh, $e author. $3 3641029
776 0 8 $i Online version: $a He, Yulei. $t Multiple imputation of missing data in practice $d Boca Raton : CRC Press, [2021] $z 9780429156397 $w (DLC) 2021026333