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Statistical methods for handling incomplete data / (Record no. 7833)

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
Holdings
Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
  Dewey Decimal Classification     Commerce and business administration ( Finance ) Main library Main library A8 03/02/2014 Osiris Bookshop 724.00 PU   519.54 K.J.S 00010424 19/02/2025 03/02/2014 Books