大葉大學圖書館 |

Missing data analysis in practice[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	519.5
書名/作者:	Missing data analysis in practice/ Trivellore Raghunathan.
作者:	Raghunathan, Trivellore.
出版者:	Boca Raton, FL : : CRC Press, Taylor & Francis Group,, c2016.
面頁冊數:	1 online resource (xix, 210 p.) : : ill.
附註:	"A Chapman & Hall book"--title page.
標題:	Mathematical statistics.
標題:	Missing observations (Statistics)
ISBN:	9781482211931
ISBN:	9781482211924
ISBN:	1482211920
書目註:	Includes bibliographical references (p. 187-203)
內容註:	Basic concepts -- Weighting methods -- Imputation -- Multiple imputation -- Regression analysis -- Longitudinal analysis with missing values -- Nonignorable missing data mechanisms -- Other applications -- Other topics.
摘要、提要註:	"Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both frequentist and Bayesian perspectives. He describes easy-to-implement approaches, the underlying assumptions, and practical means for assessing these assumptions. Actual and simulated data sets illustrate important concepts, with the data sets and codes available online. The book underscores the development of missing data methods and their adaptation to practical problems. It mainly focuses on the traditional missing data problem. The author also shows how to use the missing data framework in many other statistical problems, such as measurement error, finite population inference, disclosure limitation, combing information from multiple data sources, and causal inference"--
電子資源:	https://www.taylorfrancis.com/books/9780429171673

Missing data analysis in practice[electronic resource] /
Raghunathan, Trivellore.

Missing data analysis in practice[electronic resource] /Trivellore Raghunathan. - 1st ed. - Boca Raton, FL :CRC Press, Taylor & Francis Group,c2016. - 1 online resource (xix, 210 p.) :ill. - Chapman & Hall/CRC interdisciplinary statistics series. - Interdisciplinary statistics..

"A Chapman & Hall book"--title page.

Includes bibliographical references (p. 187-203)

Basic concepts -- Weighting methods -- Imputation -- Multiple imputation -- Regression analysis -- Longitudinal analysis with missing values -- Nonignorable missing data mechanisms -- Other applications -- Other topics.

"Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both frequentist and Bayesian perspectives. He describes easy-to-implement approaches, the underlying assumptions, and practical means for assessing these assumptions. Actual and simulated data sets illustrate important concepts, with the data sets and codes available online. The book underscores the development of missing data methods and their adaptation to practical problems. It mainly focuses on the traditional missing data problem. The author also shows how to use the missing data framework in many other statistical problems, such as measurement error, finite population inference, disclosure limitation, combing information from multiple data sources, and causal inference"--

ISBN: 9781482211931

LCCN: 2016302652Subjects--Topical Terms:

171875
Mathematical statistics.

LC Class. No.: QA276 / .R26 2015

Dewey Class. No.: 519.5

Missing data analysis in practice[electronic resource] /
LDR:02321cmm a2200313 a 4500 001 491289
005 20160907161409.0
006 m o d
007 cr cnu---unuuu
008 210127s2016 flua ob 000 0 eng d
010 $a 2016302652
020 $a 9781482211931 $q (electronic bk.)
020 $a 9781482211924 $q (hardback)
020 $a 1482211920 $q (hardback)
035 $a fly19173142
040 $a BTCTA $b eng $c BTCTA $d BDX $d YDXCP $d OCLCO $d KSU $d OCLCQ $d DGU $d EYM $d OCLCF $d CDX $d OCLCQ $d DLC
041 0 $a eng
050 0 0 $a QA276 $b .R26 2015
082 0 4 $a 519.5 $2 23
100 1 $a Raghunathan, Trivellore. $3 710699
245 1 0 $a Missing data analysis in practice $h [electronic resource] / $c Trivellore Raghunathan.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, Taylor & Francis Group, $c c2016.
300 $a 1 online resource (xix, 210 p.) : $b ill.
490 1 $a Chapman & Hall/CRC interdisciplinary statistics series
500 $a "A Chapman & Hall book"--title page.
504 $a Includes bibliographical references (p. 187-203)
505 0 $a Basic concepts -- Weighting methods -- Imputation -- Multiple imputation -- Regression analysis -- Longitudinal analysis with missing values -- Nonignorable missing data mechanisms -- Other applications -- Other topics.
520 $a "Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both frequentist and Bayesian perspectives. He describes easy-to-implement approaches, the underlying assumptions, and practical means for assessing these assumptions. Actual and simulated data sets illustrate important concepts, with the data sets and codes available online. The book underscores the development of missing data methods and their adaptation to practical problems. It mainly focuses on the traditional missing data problem. The author also shows how to use the missing data framework in many other statistical problems, such as measurement error, finite population inference, disclosure limitation, combing information from multiple data sources, and causal inference"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Mathematical statistics. $3 171875
650 0 $a Missing observations (Statistics) $3 342018
830 0 $a Interdisciplinary statistics. $3 488122
856 4 0 $u https://www.taylorfrancis.com/books/9780429171673