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|a HCDD
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100 |
1 |
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|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.
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250 |
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|a Second edition.
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264 |
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1 |
|a Hoboken :
|b Wiley,
|c [2002]
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264 |
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|c ©2002
|
300 |
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|a 1 online resource (xv, 381 pages) :
|b illustrations
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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347 |
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|a data file
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1 |
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|a Wiley series in probability and statistics
|
520 |
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|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.""-
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|a Includes bibliographical references (pages 349-364) and indexes.
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|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.
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|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.
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|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.
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505 |
8 |
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|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.
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|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.
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|a 6.2. Likelihood-based Inference with Incomplete Data.
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|a Print version record.
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|3 Use copy
|f Restrictions unspecified
|2 star
|5 MiAaHDL
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533 |
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|a Electronic reproduction.
|b [Place of publication not identified] :
|c HathiTrust Digital Library,
|d 2010.
|5 MiAaHDL
|
538 |
|
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|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
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546 |
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|a English.
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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 |
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7 |
|a Fehlende Daten
|2 gnd
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650 |
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7 |
|a Statistische Analyse
|2 gnd
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650 |
1 |
7 |
|a Statistische analyse.
|2 gtt
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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
|
903 |
|
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|a EBC-AC
|
994 |
|
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|a 92
|b HCD
|