Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
EUR 30,13
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Aggiungi al carrelloCondizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Shows some signs of wear but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
EUR 20,04
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Aggiungi al carrelloCondizione: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
EUR 20,03
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EUR 20,03
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Da: BGV Books LLC, Murray, KY, U.S.A.
EUR 20,04
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Aggiungi al carrelloCondizione: Good. Exact ISBN match. Immediate shipping. No funny business.
EUR 77,61
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Da: Goodwill Books, Hillsboro, OR, U.S.A.
EUR 20,74
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EUR 82,52
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 90,62
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 76,79
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 77,59
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 92,37
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EUR 86,47
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EUR 88,25
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EUR 101,63
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Aggiungi al carrelloCondizione: New. 2022. 2nd Edition. Hardcover. . . . . .
EUR 95,15
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Aggiungi al carrelloCondizione: New. Craig K. Enders, PhD, is Professor and Area Chair in Quantitative Psychology in the Department of Psychology at the University of California, Los Angeles. His primary research focus is on analytic issues related to missing data analyses, and he le.
EUR 103,94
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 209.
Editore: Guilford Publications Aug 2022, 2022
ISBN 10: 1462549861 ISBN 13: 9781462549863
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 99,91
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis. State-of-the-art technical literature is translated into accessible guidelines for applied researchers and graduate students. The second edition takes an even, three-pronged approach to maximum likelihood estimation, Bayesian estimation, and multiple imputation. The companion website includes datasets and analysis examples from the book, plus other resources.
EUR 107,19
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 536 pages. 10.00x7.00x1.25 inches. In Stock.
EUR 112,18
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Editore: Guilford Publications, New York, 2022
ISBN 10: 1462549861 ISBN 13: 9781462549863
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 86,57
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis. State-of-the-art technical literature on missing data is translated into accessible guidelines for applied researchers and graduate students. The second edition takes an even, three-pronged approach to maximum likelihood estimation (MLE), Bayesian estimation as an alternative to MLE, and multiple imputation. Consistently organized chapters explain the rationale and procedural details for each technique and illustrate the analyses with engaging worked-through examples on such topics as young adult smoking, employee turnover, and chronic pain. The companion website () includes data sets and analysis examples from the book, up-to-date software information, and other resources. New to This Edition *Expanded coverage of Bayesian estimation, including a new chapter on incomplete categorical variables. *New chapters on factored regressions, model-based imputation strategies, multilevel missing data-handling methods, missing not at random analyses, and other timely topics. *Presents cutting-edge methods developed since the 2010 first edition; includes dozens of new data analysis examples. *Most of the book is entirely new. Revised edition of the author's Applied missing data analysis, c2010. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
EUR 114,75
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EUR 126,04
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Aggiungi al carrelloCondizione: New. 2022. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.
Da: HPB-Red, Dallas, TX, U.S.A.
EUR 53,33
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Aggiungi al carrellohardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Editore: Guilford Publications, New York, 2022
ISBN 10: 1462549861 ISBN 13: 9781462549863
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 128,23
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis. State-of-the-art technical literature on missing data is translated into accessible guidelines for applied researchers and graduate students. The second edition takes an even, three-pronged approach to maximum likelihood estimation (MLE), Bayesian estimation as an alternative to MLE, and multiple imputation. Consistently organized chapters explain the rationale and procedural details for each technique and illustrate the analyses with engaging worked-through examples on such topics as young adult smoking, employee turnover, and chronic pain. The companion website () includes data sets and analysis examples from the book, up-to-date software information, and other resources. New to This Edition *Expanded coverage of Bayesian estimation, including a new chapter on incomplete categorical variables. *New chapters on factored regressions, model-based imputation strategies, multilevel missing data-handling methods, missing not at random analyses, and other timely topics. *Presents cutting-edge methods developed since the 2010 first edition; includes dozens of new data analysis examples. *Most of the book is entirely new. Revised edition of the author's Applied missing data analysis, c2010. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Guilford Publications, New York, 2022
ISBN 10: 1462549861 ISBN 13: 9781462549863
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 100,33
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis. State-of-the-art technical literature on missing data is translated into accessible guidelines for applied researchers and graduate students. The second edition takes an even, three-pronged approach to maximum likelihood estimation (MLE), Bayesian estimation as an alternative to MLE, and multiple imputation. Consistently organized chapters explain the rationale and procedural details for each technique and illustrate the analyses with engaging worked-through examples on such topics as young adult smoking, employee turnover, and chronic pain. The companion website () includes data sets and analysis examples from the book, up-to-date software information, and other resources. New to This Edition *Expanded coverage of Bayesian estimation, including a new chapter on incomplete categorical variables. *New chapters on factored regressions, model-based imputation strategies, multilevel missing data-handling methods, missing not at random analyses, and other timely topics. *Presents cutting-edge methods developed since the 2010 first edition; includes dozens of new data analysis examples. *Most of the book is entirely new. Revised edition of the author's Applied missing data analysis, c2010. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: BestAroundDeals, Grand Rapids, MI, U.S.A.
EUR 116,17
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Aggiungi al carrelloHardcover. Condizione: New. 2nd Edition.
Da: Majestic Books, Hounslow, Regno Unito
EUR 94,14
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Aggiungi al carrelloCondizione: New. This item is printed on demand.