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Statistical Analysis Missing Data by Little Roderick (33 results)
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Hardcover. Condition: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Condition: Acceptable. Missing dust jacket; otherwise in excellent condition. Meets the acceptable condition guidelines. Has wear. Five star seller - Buy with confidence!
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Statistical Analysis With Missing Data (Wiley Series in Probability and Statistics)
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Statistical Analysis with Missing Data
Language: English
Published by Wiley & Sons, Incorporated, John, 1987
ISBN 10: 0471802549 ISBN 13: 9780471802549
Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Statistical Analysis with Missing Data
Language: English
Published by Wiley & Sons, Incorporated, John, 1987
ISBN 10: 0471802549 ISBN 13: 9780471802549
Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Statistical Analysis with Missing Data (Wiley Series in Probability and Statistics)
Language: English
Published by Wiley-Interscience (edition 2), 2002
ISBN 10: 0471183865 ISBN 13: 9780471183860
Hardcover. Condition: Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Hardcover. Condition: 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!
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Statistical Analysis With Missing Data (Wiley Series in Probability and Statistics)
Seller: Wonder Book, Frederick, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.
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Statistical Analysis With Missing Data (Wiley Series in Probability and Statistics) Little, Roderick J. A. and Rubin, Donald B.
Seller: Bibliomonster Books, Rancho Cucamonga, CA, U.S.A.
Seller rating 3 out of 5 stars
hardcover. Condition: As New. Used, hardcover like new with original dust jacket. Sharp, square, clean, fresh & serviceable copy. No highlighting, marginalia or page tears.
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Hardcover. Condition: Very Good. Later, 11th printing in blue cloth with orange band. Name on first page. No text marks. Minimal use or wear.
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US$ 12.20
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Dust jacket in poor condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:0471802549.
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US$ 31.19
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:9780471183860.
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Statistical Analysis with Missing Data (Wiley Series in Probability and Statistics)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Very Good.
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Condition: As New. Unread book in perfect condition.
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
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Condition: new.
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Condition: New.
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Statistical Analysis With Missing Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 102.11
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Statistical Analysis With Missing Data
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 110.66
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Statistical Analysis with Missing Data (Wiley Series in Probability and Statistics)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 120.44
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US$ 128.10
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Add to basketCondition: New. pp. 448.
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Statistical Analysis with Missing Data
Language: English
Published by John Wiley & Sons Inc, 2019
ISBN 10: 0470526793 ISBN 13: 9780470526798
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 138.34
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Add to basketCondition: New. Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values. Series: Wiley Series in Probability and Statistics. Num Pages: 448 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 250 x 150. . . 2019. 3rd. Hardcover. . . . .
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Statistical Analysis with Missing Data
Language: English
Published by John Wiley & Sons Inc, 2019
ISBN 10: 0470526793 ISBN 13: 9780470526798
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 122.03
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Statistical Analysis with Missing Data
Language: English
Published by John Wiley and Sons Inc, US, 2019
ISBN 10: 0470526793 ISBN 13: 9780470526798
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 153.61
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Add to basketHardback. Condition: New. An up-to-date, comprehensive treatment of a classic text on missing data in statisticsThe topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems.Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics. An updated "classic" written by renowned authorities on the subjectFeatures over 150 exercises (including many new ones)Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methodsRevises previous topics based on past student feedback and class experienceContains an updated and expanded bibliography The authors were awarded The Karl Pearson Prize in 2017 by the International Statistical Institute, for a research contribution that has had profound influence on statistical theory, methodology or applications. Their work "has been no less than defining and transforming." (ISI)Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.
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Condition: New. pp. 448.
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Statistical Analysis with Missing Data
Language: English
Published by John Wiley & Sons Inc, 2019
ISBN 10: 0470526793 ISBN 13: 9780470526798
Condition: New. Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values. Series: Wiley Series in Probability and Statistics. Num Pages: 448 pages. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 250 x 150. . . 2019. 3rd. Hardcover. . . . . Books ship from the US and Ireland.
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Statistical Analysis with Missing Data (Wiley Series in Probability and Statistics)
Language: English
Published by Wiley-Interscience 09.2002., 2002
ISBN 10: 0471183865 ISBN 13: 9780471183860
hardcover. Condition: Wie neu. Auflage: 2. 408 Seiten minimale Lagerspuren am Buch, Inhalt einwandfrei und ungelesen Sprache: Englisch Gewicht in Gramm: 710.
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Statistical Analysis with Missing Data, Third Edition
Language: English
Published by John Wiley & Sons Inc, 2019
ISBN 10: 0470526793 ISBN 13: 9780470526798
US$ 190.68
US$ 17.01 shipping
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Add to basketHardcover. Condition: Brand New. 3rd edition. 449 pages. 9.00x6.00x1.00 inches. In Stock.
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US$ 203.18
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Add to basketHardcover. Condition: Very Good. Dust Jacket may NOT BE INCLUDED.CDs may be missing. SHIPS FROM MULTIPLE LOCATIONS. book.
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Statistical Analysis with Missing Data
Language: English
Published by John Wiley and Sons Inc, US, 2019
ISBN 10: 0470526793 ISBN 13: 9780470526798
US$ 148.49
US$ 88.43 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. An up-to-date, comprehensive treatment of a classic text on missing data in statisticsThe topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an up-to-date account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems.Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing complete-case and available-case analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics. An updated "classic" written by renowned authorities on the subjectFeatures over 150 exercises (including many new ones)Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methodsRevises previous topics based on past student feedback and class experienceContains an updated and expanded bibliography The authors were awarded The Karl Pearson Prize in 2017 by the International Statistical Institute, for a research contribution that has had profound influence on statistical theory, methodology or applications. Their work "has been no less than defining and transforming." (ISI)Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry.
