The Resource Statistical analysis with missing data, Roderick J.A. Little, Donald B. Rubin
Statistical analysis with missing data, Roderick J.A. Little, Donald B. Rubin
Resource Information
The item Statistical analysis with missing data, Roderick J.A. Little, Donald B. Rubin represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Statistical analysis with missing data, Roderick J.A. Little, Donald B. Rubin represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
 Summary
 AN UPTODATE, COMPREHENSIVE TREATMENT OF A CLASSIC TEXT ON MISSING DATA IN STATISTICS The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an uptodate account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems. Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing completecase and availablecase analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics. An updated "classic" written by renowned authorities on the subject Features over 150 exercises (including many new ones) Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods Revises previous topics based on past student feedback and class experience Contains an updated and expanded bibliography Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry
 Language
 eng
 Edition
 Third edition.
 Extent
 1 online resource.
 Note
 Includes index
 Contents

 Part I Overview and Basic Approaches
 Introduction
 Missing Data in Experiments
 CompleteCase and AvailableCase Analysis
 Single Imputation Methods
 Accounting for Uncertainty from Missing Data
 Part II LikelihoodBased Approaches to the Analysis of Data with Missing Values
 Theory of Inference Based on the Likelihood Function
 Factored Likelihood Methods When the Missingness Machanism is Ignorable
 Maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse
 LargeSample Inference Based on Maximum Likelihood Estimates
 Bayes and Multiple Imputation
 Part III LikelihoodBased Approaches to the Analysis of Incomplete Data: Some Examples
 Multivariate Normal Examples, Ignoring the Missingness Mechanism
 Models for Robust Estimation
 Models for Partially Classified Contingency Tables, Ignorning the Missingness Mechanism
 Mixed Normal and Nonnormal Data with Missing Values, Ignoring the Missingness Mechanism
 Missing Not at Random Models
 Isbn
 9781118595695
 Label
 Statistical analysis with missing data
 Title
 Statistical analysis with missing data
 Statement of responsibility
 Roderick J.A. Little, Donald B. Rubin
 Language
 eng
 Summary
 AN UPTODATE, COMPREHENSIVE TREATMENT OF A CLASSIC TEXT ON MISSING DATA IN STATISTICS The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an uptodate account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems. Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing completecase and availablecase analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics. An updated "classic" written by renowned authorities on the subject Features over 150 exercises (including many new ones) Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods Revises previous topics based on past student feedback and class experience Contains an updated and expanded bibliography Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry
 Cataloging source
 N$T
 http://library.link/vocab/creatorName
 Little, Roderick J. A
 Dewey number
 519.5
 Index
 index present
 LC call number
 QA276
 LC item number
 .L57 2020
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName
 Rubin, Donald B.
 Series statement
 Wiley series in probability and statistics
 http://library.link/vocab/subjectName

 Mathematical statistics
 Mathematical statistics
 Missing observations (Statistics)
 MATHEMATICS / Applied
 MATHEMATICS / Probability & Statistics / General
 Mathematical statistics
 Missing observations (Statistics)
 Label
 Statistical analysis with missing data, Roderick J.A. Little, Donald B. Rubin
 Note
 Includes index
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and indexes
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Part I Overview and Basic Approaches  Introduction  Missing Data in Experiments  CompleteCase and AvailableCase Analysis  Single Imputation Methods  Accounting for Uncertainty from Missing Data  Part II LikelihoodBased Approaches to the Analysis of Data with Missing Values  Theory of Inference Based on the Likelihood Function  Factored Likelihood Methods When the Missingness Machanism is Ignorable  Maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse  LargeSample Inference Based on Maximum Likelihood Estimates  Bayes and Multiple Imputation  Part III LikelihoodBased Approaches to the Analysis of Incomplete Data: Some Examples  Multivariate Normal Examples, Ignoring the Missingness Mechanism  Models for Robust Estimation  Models for Partially Classified Contingency Tables, Ignorning the Missingness Mechanism  Mixed Normal and Nonnormal Data with Missing Values, Ignoring the Missingness Mechanism  Missing Not at Random Models
 Control code
 1090652796
 Dimensions
 unknown
 Edition
 Third edition.
 Extent
 1 online resource.
 File format
 unknown
 Form of item
 online
 Isbn
 9781118595695
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 http://library.link/vocab/ext/overdrive/overdriveId
 9781118595695
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)1090652796
 Label
 Statistical analysis with missing data, Roderick J.A. Little, Donald B. Rubin
 Note
 Includes index
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and indexes
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Part I Overview and Basic Approaches  Introduction  Missing Data in Experiments  CompleteCase and AvailableCase Analysis  Single Imputation Methods  Accounting for Uncertainty from Missing Data  Part II LikelihoodBased Approaches to the Analysis of Data with Missing Values  Theory of Inference Based on the Likelihood Function  Factored Likelihood Methods When the Missingness Machanism is Ignorable  Maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse  LargeSample Inference Based on Maximum Likelihood Estimates  Bayes and Multiple Imputation  Part III LikelihoodBased Approaches to the Analysis of Incomplete Data: Some Examples  Multivariate Normal Examples, Ignoring the Missingness Mechanism  Models for Robust Estimation  Models for Partially Classified Contingency Tables, Ignorning the Missingness Mechanism  Mixed Normal and Nonnormal Data with Missing Values, Ignoring the Missingness Mechanism  Missing Not at Random Models
 Control code
 1090652796
 Dimensions
 unknown
 Edition
 Third edition.
 Extent
 1 online resource.
 File format
 unknown
 Form of item
 online
 Isbn
 9781118595695
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 http://library.link/vocab/ext/overdrive/overdriveId
 9781118595695
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)1090652796
Subject
 Mathematical statistics
 Mathematical statistics  Problems, exercises, etc
 Missing observations (Statistics)
 Missing observations (Statistics)
 Problems and exercises
 Problems and exercises
 MATHEMATICS / Applied
 MATHEMATICS / Probability & Statistics / General
 Mathematical statistics
Genre
Member of
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