hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
EUR 154,65
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Chapman and Hall/CRC 2021-11-19, 2021
ISBN 10: 036728054X ISBN 13: 9780367280543
Da: Chiron Media, Wallingford, Regno Unito
EUR 137,50
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Aggiungi al carrelloHardcover. Condizione: New.
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EUR 155,62
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 154,53
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EUR 164,78
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Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 177,49
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Aggiungi al carrelloCondizione: New. In.
EUR 183,48
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EUR 233,91
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd new edition. 384 pages. 9.21x6.14x0.94 inches. In Stock.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 145,90
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Chapman And Hall/CRC Nov 2021, 2021
ISBN 10: 036728054X ISBN 13: 9780367280543
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 153,00
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. FeaturesUses the mean score equation as a building block for developing the theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data Describes a survey sampling application Updated with a new chapter on Data IntegrationNow includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies. 382 pp. Englisch.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 180,60
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 189,93
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 169,20
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational methods for analyzing incomplete data. FeaturesUses the mean score equation as a building block for developing the theory for missing data analysis Provides comprehensive coverage of computational techniques for missing data analysis Presents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation Explores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data Describes a survey sampling application Updated with a new chapter on Data IntegrationNow includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation The book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.