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  • 1
    Buch
    Buch
    Hoboken, NJ :Wiley-Interscience,
    UID:
    almafu_BV014560553
    Umfang: XV, 381 S. : , graph. Darst.
    Ausgabe: 2. ed.
    ISBN: 0-471-18386-5
    Serie: Wiley series in probability and statistics
    Anmerkung: Hier auch später erschienene, unveränderte Nachdrucke
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-1-118-62586-6
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften , Mathematik
    RVK:
    RVK:
    Schlagwort(e): Fehlende Daten ; Datenauswertung ; Multivariate Analyse ; Fehlende Daten ; Statistik ; Element ; Statistische Analyse ; Fehlende Daten ; Ungewissheit
    URL: Cover
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    Hoboken, New Jersey :Wiley-Interscience,
    UID:
    almafu_BV043397088
    Umfang: 1 Online-Ressource (xv, 381 Seiten) : , Illustrationen.
    Ausgabe: Second edition
    ISBN: 978-1-119-01356-3 , 978-1-118-62586-6 , 978-1-118-62588-0 , 978-1-322-09472-4
    Serie: Wiley series in probability and statistics
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-0-471-18386-0
    Weitere Ausg.: ISBN 0-471-18386-5
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften , Mathematik
    RVK:
    RVK:
    Schlagwort(e): Fehlende Daten ; Datenauswertung ; Multivariate Analyse ; Fehlende Daten ; Statistik ; Element ; Statistische Analyse ; Fehlende Daten ; Ungewissheit ; Electronic books
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Cover
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    Hoboken :Wiley,
    UID:
    almahu_9948198134802882
    Umfang: 1 online resource (xv, 381 pages) : , illustrations
    Ausgabe: Second edition.
    Ausgabe: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
    ISBN: 9781118625866 , 1118625862 , 9781119013563 , 1119013569
    Inhalt: 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.""-
    Anmerkung: 6.2. Likelihood-based Inference with Incomplete Data. , 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. , 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. , 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. , 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. , 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. , 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.
    Weitere Ausg.: Print version: Little, Roderick J.A. Statistical analysis with missing data. Hoboken, N.J. : Wiley, ©2002 ISBN 0471183865
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften , Mathematik
    RVK:
    RVK:
    Schlagwort(e): Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 4
    Online-Ressource
    Online-Ressource
    Hoboken :Wiley,
    UID:
    edocfu_9959329150802883
    Umfang: 1 online resource (xv, 381 pages) : , illustrations
    Ausgabe: Second edition.
    Ausgabe: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
    ISBN: 9781118625866 , 1118625862 , 9781119013563 , 1119013569
    Inhalt: 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.""-
    Anmerkung: 6.2. Likelihood-based Inference with Incomplete Data. , 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. , 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. , 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. , 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. , 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. , 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. , English.
    Weitere Ausg.: Print version: Little, Roderick J.A. Statistical analysis with missing data. Hoboken, N.J. : Wiley, ©2002 ISBN 0471183865
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften , Mathematik
    RVK:
    RVK:
    Schlagwort(e): Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 5
    Buch
    Buch
    Hoboken, NJ : Wiley
    UID:
    kobvindex_GFZ98108
    Umfang: xv, 381 S. , graph. Darst.
    Ausgabe: 2nd ed.
    ISBN: 0471183865
    Serie: Wiley series in probability and statistics
    Inhalt: PART I: OVERVIEW AND BASIC APPROACHES. - Introduction. - Missing Data in Experiments. - Complete-Case and Available-Case Analysis, Including Weighting Methods. . - Single Imputation Methods. - Estimation of Imputation Uncertainty. - PART II: LIKELIHOOD-BASED APPROACHES TO THE ANALYSIS OF MISSING DATA. - Theory of Inference Based on the Likelihood Function. . - Methods Based on Factoring the Likelihood, Ignoring the Missing-Data Mechanism. - Maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse. - Large-Sample Inference Based on Maximum Likelihood Estimates. - Bayes and Multiple Imputation. - PART III: LIKELIHOOD-BASED APPROACHES TO THE ANALYSIS OF MISSING DATA: APPLICATIONS TO SOME COMMON MODELS. - Multivariate Normal Examples, Ignoring the Missing-Data Mechanism. - Models for Robust Estimation. - Models for Partially Classified Contingency Tables, Ignoring the Missing-Data Mechanism. - Mixed Normal and Nonnormal Data with Missing Values, Ignoring the Missing-Data Mechanism. - Nonignorable Missing-Data Models.
    Anmerkung: MAB0014.001: M 06.0246
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 6
    Online-Ressource
    Online-Ressource
    Hoboken, New Jersey :John Wiley & Sons, Inc.,
    UID:
    almahu_9948319465402882
    Umfang: 1 online resource (409 pages) : , illustrations
    Ausgabe: Second edition.
    ISBN: 9781118625866 (e-book)
    Weitere Ausg.: Print version: Little, Roderick J. A. Statistical analysis with missing data. Hoboken, New Jersey : John Wiley & Sons, Inc., c2002 ISBN 9780471183860
    Sprache: Englisch
    Schlagwort(e): Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 7
    Online-Ressource
    Online-Ressource
    Hoboken, New Jersey :Wiley-Interscience,
    UID:
    edocfu_BV043397088
    Umfang: 1 Online-Ressource (xv, 381 Seiten) : , Illustrationen.
    Ausgabe: Second edition
    ISBN: 978-1-119-01356-3 , 978-1-118-62586-6 , 978-1-118-62588-0 , 978-1-322-09472-4
    Serie: Wiley series in probability and statistics
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-0-471-18386-0
    Weitere Ausg.: ISBN 0-471-18386-5
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften , Mathematik
    RVK:
    RVK:
    Schlagwort(e): Fehlende Daten ; Datenauswertung ; Multivariate Analyse ; Fehlende Daten ; Statistik ; Element ; Statistische Analyse ; Fehlende Daten ; Ungewissheit
    URL: Volltext  (URL des Erstveröffentlichers)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 8
    Online-Ressource
    Online-Ressource
    Hoboken :Wiley,
    UID:
    almafu_9959329150802883
    Umfang: 1 online resource (xv, 381 pages) : , illustrations
    Ausgabe: Second edition.
    Ausgabe: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010.
    ISBN: 9781118625866 , 1118625862 , 9781119013563 , 1119013569
    Inhalt: 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.""-
    Anmerkung: 6.2. Likelihood-based Inference with Incomplete Data. , 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. , 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. , 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. , 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. , 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. , 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. , English.
    Weitere Ausg.: Print version: Little, Roderick J.A. Statistical analysis with missing data. Hoboken, N.J. : Wiley, ©2002 ISBN 0471183865
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften , Mathematik
    RVK:
    RVK:
    Schlagwort(e): Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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