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Multiple Imputation and its Application

Af: Tim P. Morris, Michael G. Kenward, James R. Carpenter, Angela M. Wood, Matteo Quartagno, Jonathan W. Bartlett Engelsk Hardback

Multiple Imputation and its Application

Af: Tim P. Morris, Michael G. Kenward, James R. Carpenter, Angela M. Wood, Matteo Quartagno, Jonathan W. Bartlett Engelsk Hardback
Tjek vores konkurrenters priser
Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to analyzing partially observed data In this comprehensively revised Second Edition of Multiple Imputation and its Application, a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings. With an accessible and carefully structured presentation aimed at quantitative researchers, Multiple Imputation and its Application is illustrated with a range of examples and offers key mathematical details. The book includes a wide range of theoretical and computer-based exercises, tested in the classroom, which are especially useful for users of R or Stata. Readers will find: A comprehensive overview of one of the most effective and popular methodologies for dealing with incomplete data setsCareful discussion of key conceptsA range of examples illustrating the key ideasPractical advice on using multiple imputationExercises and examples designed for use in the classroom and/or private study Written for applied researchers looking to use multiple imputation with confidence, and for methods researchers seeking an accessible overview of the topic, Multiple Imputation and its Application will also earn a place in the libraries of graduate students undertaking quantitative analyses.
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Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to analyzing partially observed data In this comprehensively revised Second Edition of Multiple Imputation and its Application, a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings. With an accessible and carefully structured presentation aimed at quantitative researchers, Multiple Imputation and its Application is illustrated with a range of examples and offers key mathematical details. The book includes a wide range of theoretical and computer-based exercises, tested in the classroom, which are especially useful for users of R or Stata. Readers will find: A comprehensive overview of one of the most effective and popular methodologies for dealing with incomplete data setsCareful discussion of key conceptsA range of examples illustrating the key ideasPractical advice on using multiple imputationExercises and examples designed for use in the classroom and/or private study Written for applied researchers looking to use multiple imputation with confidence, and for methods researchers seeking an accessible overview of the topic, Multiple Imputation and its Application will also earn a place in the libraries of graduate students undertaking quantitative analyses.
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Produktdetaljer
Sprog: Engelsk
Sider: 464
ISBN-13: 9781119756088
Indbinding: Hardback
Udgave: 2
ISBN-10: 1119756081
Kategori: Matematik
Udg. Dato: 21 aug 2023
Længde: 31mm
Bredde: 236mm
Højde: 158mm
Forlag: John Wiley & Sons Inc
Oplagsdato: 21 aug 2023
Forfatter(e): Tim P. Morris, Michael G. Kenward, James R. Carpenter, Angela M. Wood, Matteo Quartagno, Jonathan W. Bartlett
Forfatter(e) Tim P. Morris, Michael G. Kenward, James R. Carpenter, Angela M. Wood, Matteo Quartagno, Jonathan W. Bartlett

Kategori Matematik

ISBN-13 9781119756088

Sprog Engelsk

Indbinding Hardback

Sider 464

Udgave 2

Længde 31mm

Bredde 236mm

Højde 158mm

Udg. Dato 21 aug 2023

Oplagsdato 21 aug 2023

Forlag John Wiley & Sons Inc

Kategori sammenhænge