國立高雄大學圖資館 |

Language: English

Back

Statistical methods for handling inc...

Kim, Jae Kwang, (1968-)

Statistical methods for handling incomplete data /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Statistical methods for handling incomplete data /Jae Kwang Kim, Jun Shao.
Author:	Kim, Jae Kwang,
other author:	Shao, Jun
Published:	Boca Raton :CRC Press, Taylor & Francis Group,c2014.
Description:	xi, 211 p. ;25 cm.
Subject:	Missing observations (Statistics)
ISBN:	9781439849637 (hbk.) :

Statistical methods for handling incomplete data /
Kim, Jae Kwang,1968-

Statistical methods for handling incomplete data /Jae Kwang Kim, Jun Shao. - Boca Raton :CRC Press, Taylor & Francis Group,c2014. - xi, 211 p. ;25 cm.

Includes bibliographical references (p. 201-207) and index.

"With the advances in statistical computing, there has been a rapid development of techniques and applications in missing data analysis. This book aims to cover the most up-to-date statistical theories and computational methods for analyzing incomplete data through (1)vigorous treatment of statistical theories on likelihood-based inference with missing data, (2) comprehensive treatment of computational techniques and theories on imputation, and (3) most up-to-date treatment of methodologies involving propensity score weighting, nonignorable missing, longitudinal missing, survey sampling application, and statistical matching. The book is suitable for use as a textbook for a graduate course in statistics departments or as a reference book for those interested in this area. Some of the research ideas introduced in the book can be developed further for specific applications"--

ISBN: 9781439849637 (hbk.) :NT$2597

LCCN: 2013010114Subjects--Topical Terms:

182525
Missing observations (Statistics)

LC Class. No.: QA276.8 / .K55 2014

Dewey Class. No.: 519.5/4

Statistical methods for handling incomplete data /
LDR:01586cam a2200229 a 4500 001 427297
003 DLC
005 20140211111023.0
008 140917s2014 flu b 001 0 eng
010 $a 2013010114
020 $a 9781439849637 (hbk.) : $c NT$2597
020 $a 1439849633 (hbk.)
035 $a 2013010114
040 $a DLC $b eng $c DLC $d DLC
042 $a pcc
050 0 0 $a QA276.8 $b .K55 2014
082 0 0 $a 519.5/4 $2 23
084 $a MAT029000 $2 bisacsh
100 1 $a Kim, Jae Kwang, $d 1968- $3 671271
245 1 0 $a Statistical methods for handling incomplete data / $c Jae Kwang Kim, Jun Shao.
260 $a Boca Raton : $b CRC Press, Taylor & Francis Group, $c c2014.
300 $a xi, 211 p. ; $c 25 cm.
504 $a Includes bibliographical references (p. 201-207) and index.
520 $a "With the advances in statistical computing, there has been a rapid development of techniques and applications in missing data analysis. This book aims to cover the most up-to-date statistical theories and computational methods for analyzing incomplete data through (1)vigorous treatment of statistical theories on likelihood-based inference with missing data, (2) comprehensive treatment of computational techniques and theories on imputation, and (3) most up-to-date treatment of methodologies involving propensity score weighting, nonignorable missing, longitudinal missing, survey sampling application, and statistical matching. The book is suitable for use as a textbook for a graduate course in statistics departments or as a reference book for those interested in this area. Some of the research ideas introduced in the book can be developed further for specific applications"-- $c Provided by publisher.
650 0 $a Missing observations (Statistics) $3 182525
650 0 $a Multiple imputation (Statistics) $3 487081
650 7 $a MATHEMATICS / Probability & Statistics / General. $2 bisacsh $3 603543
700 1 $a Shao, Jun $c (Statistician) $3 671272