MARC details
| 000 -LEADER |
| fixed length control field |
03293cam a22003378i 4500 |
| 001 - CONTROL NUMBER |
| control field |
17720877 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20210907120642.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
130502s2014 flu b 101 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
| LC control number |
2013010114 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9781439849637 (hardback : acidfree paper) |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
DLC |
| Transcribing agency |
DLC |
| Description conventions |
rda |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
QA276.8 |
| Item number |
.K55 2014 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
519.54 |
| Edition number |
23 |
| Item number |
K.J.S |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Kim, Jae Kwang, |
| Dates associated with a name |
1968- |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
| Title |
Statistical methods for handling incomplete data / |
| Statement of responsibility, etc |
Jae Kwang Kim and Jun Shao. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
Boca Raton, Florida : |
| Name of publisher, distributor, etc |
CRC press, |
| Date of publication, distribution, etc |
c2014. |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Date of publication, distribution, etc |
c2014. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xi, 211pages ; |
| Dimensions |
22 cm. |
| 336 ## - CONTENT TYPE |
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
| Source |
rdacarrier |
| Carrier type term |
volume |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
IntroductionIntroduction Outline How to Use This BookLikelihood-Based ApproachIntroductionObserved LikelihoodMean Score ApproachObserved InformationComputation IntroductionFactoring Likelihood ApproachEM AlgorithmMonte Carlo Computation Monte Carlo EM Data AugmentationImputationIntroductionBasic Theory for ImputationVariance Estimation after Imputation Replication Variance EstimationMultiple ImputationFractional ImputationPropensity Scoring Approach Introduction Regression Weighting Method Propensity Score Method Optimal Estimation Doubly Robust Method Empirical Likelihood Method Nonparametric MethodNonignorable Missing DataNonresponse Instrument Conditional Likelihood Approach Generalized Method of Moments (GMM) Approach Pseudo Likelihood Approach Exponential Tilting (ET) Model Latent Variable Approach Callbacks Capture-Recapture (CR) ExperimentLongitudinal and Clustered DataIgnorable Missing Data Nonignorable Monotone Missing DataPast-Value-Dependent Missing DataRandom-Effect-Dependent Missing DataApplication to Survey Sampling Introduction Calibration Estimation Propensity Score Weighting Method Fractional Imputation Fractional Hot Deck Imputation Imputation for Two-Phase Sampling Synthetic Imputation Statistical Matching Introduction Instrumental Variable Approach Measurement Error ModelsCausal Inference Bibliography Index<br/> |
| 520 ## - SUMMARY, ETC. |
| Summary, etc |
"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"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Missing observations (Statistics) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Multiple imputation (Statistics) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
MATHEMATICS / Probability & Statistics / General. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Shao, Jun |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Koha item type |
Books |
| Source of classification or shelving scheme |
Dewey Decimal Classification |