Condizione: 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.
Da: Bay State Book Company, North Smithfield, RI, U.S.A.
Condizione: very_good.
Hardcover. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Da: Goodwill Books, Hillsboro, OR, U.S.A.
Condizione: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.
Da: Goodwill Books, Hillsboro, OR, U.S.A.
Condizione: good. Signs of wear and consistent use.
Da: Scissortail, Oklahoma City, OK, U.S.A.
Condizione: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
EUR 17,58
Quantità: 1 disponibili
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.
Da: BGV Books LLC, Murray, KY, U.S.A.
Condizione: Good. Exact ISBN match. Immediate shipping. No funny business.
Da: HPB-Red, Dallas, TX, U.S.A.
hardcover. 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!
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 79,48
Quantità: 10 disponibili
Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: As New. Unread book in perfect condition.
Condizione: New.
Editore: Guilford Publications, New York, 2022
ISBN 10: 1462549861 ISBN 13: 9781462549863
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. 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.
EUR 75,78
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 87,06
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 86,68
Quantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Chiron Media, Wallingford, Regno Unito
EUR 84,60
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Condizione: New.
EUR 99,92
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 2022. 2nd Edition. Hardcover. . . . . .
EUR 102,75
Quantità: 1 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 209.
EUR 104,69
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 536 pages. 10.00x7.00x1.25 inches. In Stock.
EUR 75,79
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: NEW.
EUR 112,81
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Guilford Publications, New York, 2022
ISBN 10: 1462549861 ISBN 13: 9781462549863
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 84,55
Quantità: 1 disponibili
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.
Condizione: New. 2022. 2nd Edition. Hardcover. . . . . . Books ship from the US and Ireland.
EUR 95,15
Quantità: 2 disponibili
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.
Da: BestAroundDeals, Grand Rapids, MI, U.S.A.
Hardcover. Condizione: New. 2nd Edition.
Editore: Guilford Publications, New York, 2022
ISBN 10: 1462549861 ISBN 13: 9781462549863
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 134,19
Quantità: 1 disponibili
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.
Da: GoldBooks, Denver, CO, U.S.A.
Condizione: new.