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Handbook Missing Data Methodology (36 results)
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Handbook of Missing Data Methodology: 5 (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Taylor & Francis Group, 2020
ISBN 10: 0367739291 ISBN 13: 9780367739294
Condition: New. pp. 598.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367739291 ISBN 13: 9780367739294
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Handbook of Missing Data Methodology: 5 (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Taylor & Francis Group, 2020
ISBN 10: 0367739291 ISBN 13: 9780367739294
Condition: New. pp. 598 1st edition.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Handbook of Missing Data Methodology (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 74.05
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Handbook of Missing Data Methodology: 5 (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Taylor & Francis Group, 2020
ISBN 10: 0367739291 ISBN 13: 9780367739294
Condition: New. pp. 598.
-
Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439854610 ISBN 13: 9781439854617
Condition: As New. Unread book in perfect condition.
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Paperback. Condition: Brand New. 598 pages. 10.00x7.01x1.61 inches. In Stock.
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Handbook of Missing Data Methodology (Hardcover)
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Taylor & Francis Inc, London, 2014
ISBN 10: 1439854610 ISBN 13: 9781439854617
Hardcover. Condition: new. Hardcover. Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data Methodology presents many methodological advances and the latest applications of missing data methods in empirical research.Divided into six parts, the handbook begins by establishing notation and terminology. It reviews the general taxonomy of missing data mechanisms and their implications for analysis and offers a historical perspective on early methods for handling missing data. The following three parts cover various inference paradigms when data are missing, including likelihood and Bayesian methods; semi-parametric methods, with particular emphasis on inverse probability weighting; and multiple imputation methods. The next part of the book focuses on a range of approaches that assess the sensitivity of inferences to alternative, routinely non-verifiable assumptions about the missing data process. The final part discusses special topics, such as missing data in clinical trials and sample surveys as well as approaches to model diagnostics in the missing data setting. In each part, an introduction provides useful background material and an overview to set the stage for subsequent chapters. Covering both established and emerging methodologies for missing data, this book sets the scene for future research. It provides the framework for readers to delve into research and practical applications of missing data methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439854610 ISBN 13: 9781439854617
Condition: New.
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N.A. Condition: New. ISBN:9780367372804.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367739291 ISBN 13: 9780367739294
Taschenbuch. Condition: Neu. Handbook of Missing Data Methodology | Geert Molenberghs (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367739294 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Handbook of Missing Data Methodology (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439854610 ISBN 13: 9781439854617
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 122.44
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439854610 ISBN 13: 9781439854617
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 124.58
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Chapman and Hall/CRC, 2014
ISBN 10: 1439854610 ISBN 13: 9781439854617
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 124.41
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Taylor & Francis Ltd, 2014
ISBN 10: 1439854610 ISBN 13: 9781439854617
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Taylor & Francis Group, 2014
ISBN 10: 1439854610 ISBN 13: 9781439854617
Condition: New. pp. 672.
-
Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Taylor & Francis Group, 2014
ISBN 10: 1439854610 ISBN 13: 9781439854617
Condition: New. pp. 672.
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Hardcover. Condition: Brand New. 1st edition. 600 pages. 11.00x7.75x1.75 inches. In Stock.
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Handbook of Missing Data Methodology (Hardcover)
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Taylor & Francis Inc, London, 2014
ISBN 10: 1439854610 ISBN 13: 9781439854617
Hardcover. Condition: new. Hardcover. Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data Methodology presents many methodological advances and the latest applications of missing data methods in empirical research.Divided into six parts, the handbook begins by establishing notation and terminology. It reviews the general taxonomy of missing data mechanisms and their implications for analysis and offers a historical perspective on early methods for handling missing data. The following three parts cover various inference paradigms when data are missing, including likelihood and Bayesian methods; semi-parametric methods, with particular emphasis on inverse probability weighting; and multiple imputation methods. The next part of the book focuses on a range of approaches that assess the sensitivity of inferences to alternative, routinely non-verifiable assumptions about the missing data process. The final part discusses special topics, such as missing data in clinical trials and sample surveys as well as approaches to model diagnostics in the missing data setting. In each part, an introduction provides useful background material and an overview to set the stage for subsequent chapters. Covering both established and emerging methodologies for missing data, this book sets the scene for future research. It provides the framework for readers to delve into research and practical applications of missing data methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Taylor & Francis Ltd Dez 2020, 2020
ISBN 10: 0367739291 ISBN 13: 9780367739294
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data Methodology presents many methodological advances and the latest applications of missing data methods in empirical research.Divided into six parts, the handbook begins by establishing notation and terminology. It reviews the general taxonomy of missing data mechanisms and their implications for analysis and offers a historical perspective on early methods for handling missing data. The following three parts cover various inference paradigms when data are missing, including likelihood and Bayesian methods; semi-parametric methods, with particular emphasis on inverse probability weighting; and multiple imputation methods. The next part of the book focuses on a range of approaches that assess the sensitivity of inferences to alternative, routinely non-verifiable assumptions about the missing data process. The final part discusses special topics, such as missing data in clinical trials and sample surveys as well as approaches to model diagnostics in the missing data setting. In each part, an introduction provides useful background material and an overview to set the stage for subsequent chapters. Covering both established and emerging methodologies for missing data, this book sets the scene for future research. It provides the framework for readers to delve into research and practical applications of missing data methods. 598 pp. Englisch.
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Einband - flex.(Paperback). Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert VerbekeMissing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been impor.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 127.11
£ 7.63 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Handbook of Missing Data Methodology
Book 5 of 27: Chapman & Hall/CRC Handbooks of Modern Statistical MethodsLanguage: English
Published by Chapman And Hall/CRC, 2020
ISBN 10: 0367739291 ISBN 13: 9780367739294
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data Methodology presents many methodological advances and the latest applications of missing data methods in empirical research.Divided into six parts, the handbook begins by establishing notation and terminology. It reviews the general taxonomy of missing data mechanisms and their implications for analysis and offers a historical perspective on early methods for handling missing data. The following three parts cover various inference paradigms when data are missing, including likelihood and Bayesian methods; semi-parametric methods, with particular emphasis on inverse probability weighting; and multiple imputation methods. The next part of the book focuses on a range of approaches that assess the sensitivity of inferences to alternative, routinely non-verifiable assumptions about the missing data process. The final part discusses special topics, such as missing data in clinical trials and sample surveys as well as approaches to model diagnostics in the missing data setting. In each part, an introduction provides useful background material and an overview to set the stage for subsequent chapters. Covering both established and emerging methodologies for missing data, this book sets the scene for future research. It provides the framework for readers to delve into research and practical applications of missing data methods.
