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Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Publicado por John Wiley and Sons Inc, US, 2023
ISBN 10: 1119756081 ISBN 13: 9781119756088
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoHardback. Condición: New. 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.
Librería: California Books, Miami, FL, Estados Unidos de America
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Añadir al carritoHardcover. Condición: New.
Publicado por John Wiley and Sons Inc, US, 2023
ISBN 10: 1119756081 ISBN 13: 9781119756088
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 91,96
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Añadir al carritoHardback. Condición: New. 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.
EUR 82,07
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EUR 83,71
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Añadir al carritoCondición: New. JAMES R. CARPENTER is Professor of Medical Statistics at the London School of Hygiene & Tropical Medicine and Programme Leader in Methodology at the MRC Clinical Trials Unit at UCL, UK.JONATHAN W. BARTLETT is a Professor of Medical Statistics at the London .