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000001261698
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20181108214349
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180719s2013 us b 101 0 eng
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▼a 2013010114
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020
▼a 9781439849637 (hardback : acid-free paper)
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035
▼a (KERIS)BIB000013258727
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040
▼a 211047
▼c 211047
▼d 211047 -
082
▼a 519.5/4
▼2 23 -
100
▼a Kim, Jae Kwang,
▼d 1968- -
245
▼a Statistical methods for handling incomplete data/
▼d Jae Kwang Kim ,
▼e Jun Shao. -
260
▼a Boca Raton:
▼b CRC Press,
▼c 2013. -
300
▼a xi, 211 p.;
▼c 25 cm. -
504
▼a Includes bibliographical references and index.
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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"--Provided by publisher.
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650
▼a Missing observations (Statistics)
-
650
▼a Multiple imputation (Statistics)
-
650
▼a MATHEMATICS / Probability & Statistics / General.
▼2 bisacsh -
700
▼a Shao, Jun,
▼c (Statistician) -
990
▼a 김자옥
▼b 김자옥 -
991
▼a 단행본
-
090
▼a 519.5
▼b K56s
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상세정보
Statistical methods for handling incomplete data
QR코드| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9781439849637 (hardback : acid-free paper) |
| 개인저자 : | Kim, Jae Kwang, 1968- |
| 서명/저자사항 : | Statistical methods for handling incomplete data/ Jae Kwang Kim , Jun Shao. |
| 발행사항 : | Boca Raton: CRC Press, 2013. |
| 형태사항 : | xi, 211 p.; 25 cm. |
| 서지주기 : | Includes bibliographical references and index. |
| 요약 : | "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"--Provided by publisher. |
| 일반주제명 : | Missing observations (Statistics) -- |
| 일반주제명 : | Multiple imputation (Statistics) -- |
| 일반주제명 : | MATHEMATICS / Probability & Statistics / General. -- |
| 개인저자 : | Shao, Jun, (Statistician) |
| 분류기호 : | 519.5 |
| 언어 | 영어 |
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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