Statistical analysis with missing data / Roderick J.A. Little, Donald B. Rubin.

Praise for the First Edition of Statistical Analysis with Missing Data ""An important contribution to the applied statistics literature ... I give the book high marks for unifying and making accessible much of the past and current work in this important area.""--William E. Strawd...

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Bibliographic Details
Main Authors: Little, Roderick J. A. (Author), Rubin, Donald B. (Author)
Format: eBook
Language:English
Published: Hoboken : Wiley, [2002]
Edition:Second edition.
Series:Wiley series in probability and statistics.
Subjects:
Online Access:Click for online access

MARC

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049 |a HCDD 
100 1 |a Little, Roderick J. A.,  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PBJdrHcw6cd8t6HbktYYdcP 
245 1 0 |a Statistical analysis with missing data /  |c Roderick J.A. Little, Donald B. Rubin. 
250 |a Second edition. 
264 1 |a Hoboken :  |b Wiley,  |c [2002] 
264 4 |c ©2002 
300 |a 1 online resource (xv, 381 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a data file 
490 1 |a Wiley series in probability and statistics 
520 |a Praise for the First Edition of Statistical Analysis with Missing Data ""An important contribution to the applied statistics literature ... I give the book high marks for unifying and making accessible much of the past and current work in this important area.""--William E. Strawderman, Rutgers University ""This book ... provide[s] interesting real-life examples, stimulating end-of-chapter exercises, and up-to-date references. It should be on every applied statistician's bookshelf.""-The Statistician ""The book should be studied in the statistical methods department in every statistical agency.""- 
504 |a Includes bibliographical references (pages 349-364) and indexes. 
505 0 |a Cover ; Title Page ; Copyright ; Contents ; Preface ; Part I: Overview and Basic Approaches ; Chapter 1: Introduction ; 1.1. The Problem of Missing Data ; 1.2. Missing-data Patterns ; 1.3. Mechanisms That Lead to Missing Data ; 1.4. A Taxonomy of Missing-data Methods ; Chapter 2: Missing Data in Experiments ; 2.1. Introduction ; 2.2. The Exact Least Squares Solution with Complete Data ; 2.3. The Correct Least Squares Analysis with Missing Data ; 2.4. Filling in Least Squares Estimates ; 2.4.1. Yates's Method ; 2.4.2. Using a Formula for the Missing Values. 
505 8 |a 2.4.3. Iterating to Find the Missing Values 2.4.4. Ancova with Missing-value Covariates ; 2.5. Bartlett's Ancova Method ; 2.5.1. Useful Properties of Bartlett's Method ; 2.5.2. Notation ; 2.5.3. The Ancova Estimates of Parameters and Missing Y Values ; 2.5.4. Ancova Estimates of the Residual Sums of Squares and the Covariance Matrix of ß^ ; 2.6. Least Squares Estimates of Missing Values by Ancova Using Only Complete-data Methods ; 2.7. Correct Least Squares Estimates of Standard Errors and One Degree of Freedom Sums of Squares. 
505 8 |a 2.8. Correct Least Squares Sums of Squares with More Than One Degree of Freedom Chapter 3: Complete-case and Available-case Analysis, Including Weighting Methods ; 3.1. Introduction ; 3.2. Complete-case Analysis ; 3.3. Weighted Complete-case Analysis ; 3.3.1. Weighting Adjustments ; 3.3.2. Added Variance from Nonresponse Weighting ; 3.3.3. Post-stratification and Raking to Known Margins ; 3.3.4. Inference from Weighted Data ; 3.3.5. Summary of Weighting Methods ; 3.4. Available-case Analysis ; Chapter 4: Single Imputation Methods ; 4.1. Introduction. 
505 8 |a 4.2. Imputing Means from a Predictive Distribution 4.2.1. Unconditional Mean Imputation ; 4.2.2. Conditional Mean Imputation ; 4.3. Imputing Draws from a Predictive Distribution ; 4.3.1. Draws Based on Explicit Models ; 4.3.2. Draws Based on Implicit Models ; 4.4. Conclusions ; Chapter 5: Estimation of Imputation Uncertainty ; 5.1. Introduction ; 5.2. Imputation Methods That Provide Valid Standard Errors from a Single Filled-in Data Set ; 5.3. Standard Errors for Imputed Data by Resampling ; 5.3.1 Bootstrap Standard Errors ; 5.3.2. Jackknife Standard Errors. 
505 8 |a 5.4. Introduction to Multiple Imputation 5.5. Comparison of Resampling Methods and Multiple Imputation ; Part II: Likelihood-based Approaches to the Analysis of Missing Data ; Chapter 6: Theory of Inference Based on the Likelihood Function ; 6.1. Review of Likelihood-based Estimation for Complete Data ; 6.1.1. Maximum Likelihood Estimation ; 6.1.2. Rudiments of Bayes Estimation ; 6.1.3. Large-sample Maximum Likelihood and Bayes Inference ; 6.1.4. Bayes Inference Based on the Full Posterior Distribution ; 6.1.5. Simulating Draws from Posterior Distributions. 
500 |a 6.2. Likelihood-based Inference with Incomplete Data. 
588 0 |a Print version record. 
506 |3 Use copy  |f Restrictions unspecified  |2 star  |5 MiAaHDL 
533 |a Electronic reproduction.  |b [Place of publication not identified] :  |c HathiTrust Digital Library,  |d 2010.  |5 MiAaHDL 
538 |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.  |u http://purl.oclc.org/DLF/benchrepro0212  |5 MiAaHDL 
583 1 |a digitized  |c 2010  |h HathiTrust Digital Library  |l committed to preserve  |2 pda  |5 MiAaHDL 
546 |a English. 
650 0 |a Mathematical statistics. 
650 0 |a Missing observations (Statistics) 
650 7 |a MATHEMATICS  |x Applied.  |2 bisacsh 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Mathematical statistics  |2 fast 
650 7 |a Missing observations (Statistics)  |2 fast 
650 7 |a Datenauswertung  |2 gnd 
650 7 |a Fehlende Daten  |2 gnd 
650 7 |a Statistische Analyse  |2 gnd 
650 1 7 |a Statistische analyse.  |2 gtt 
650 1 7 |a Ontbrekende gegevens.  |2 gtt 
650 7 |a ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR.  |2 larpcal 
650 7 |a MODELOS LINEARES.  |2 larpcal 
650 7 |a PESQUISA E PLANEJAMENTO ESTATÍSTICO.  |2 larpcal 
650 7 |a ANÁLISE MULTIVARIADA.  |2 larpcal 
650 7 |a Mathematical statistics.  |2 nli 
650 7 |a Missing observations (Statistics)  |2 nli 
700 1 |a Rubin, Donald B.,  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PBJwtqwTwtdgMCCGf3pJv73 
776 0 8 |i Print version:  |a Little, Roderick J.A.  |t Statistical analysis with missing data.  |b 2nd ed.  |d Hoboken, N.J. : Wiley, ©2002  |z 0471183865  |w (DLC) 2002027006  |w (OCoLC)48466746 
830 0 |a Wiley series in probability and statistics. 
856 4 0 |u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=1775204  |y Click for online access 
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994 |a 92  |b HCD