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Hardcover. Zustand: Very Good. Zustand des Schutzumschlags: Very Good. This book is in very good condition; no remainder marks. Dustjacket does have some shelfwear. Inside pages are clean. ; 6.59 X 0.76 X 9.42 inches; 320 pages.
Verlag: Oxford University Press, 2006
ISBN 10: 0387970843 ISBN 13: 9780387970844
Anbieter: Books From California, Simi Valley, CA, USA
Hardcover. Zustand: Very Good.
Sprache: Englisch
Verlag: Oxford University Press, Oxford, England, 2006
ISBN 10: 0195173449 ISBN 13: 9780195173444
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Hard cover. First edition. Sewn binding. Cloth over boards. With dust jacket. 320 p. Contains: Unspecified. Audience: General/trade. Fine in fine dust jacket. excellent in excellent jacket, first printing, as new.
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Zustand: very good. Oxford & New York : Oxford University Press, 2006. Hardcover. Dustjacket. xxii, 288 p. : ill., maps ; 24 cm. Edited by Theodore A. Walls and Joseph L. Schafer. Condition : very good copy. ISBN 9780195173444. Keywords : ,
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In den WarenkorbZustand: New. A class of longitudinal data has emerged with the use of technological devices for scientific data collection. This class of data is called intensive longitudinal data (ILD). This volume features applied statistical modelling strategies developed by leading statisticians and methodologists working in conjunction with behavioural scientists. Editor(s): Walls, Theodore A.; Schafer, Joseph L. Num Pages: 320 pages, Numerous tables and line drawings. BIC Classification: JHBC; MBNS; PBT. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 19. Weight in Grams: 579. . 2006. Illustrated. hardcover. . . . .
Sprache: Englisch
Verlag: Oxford University Press Inc, US, 2006
ISBN 10: 0195173449 ISBN 13: 9780195173444
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In den WarenkorbHardback. Zustand: New. A new class of longitudinal data has emerged with the use of technological devices for scientific data collection. This class of data is called intensive longitudinal data (ILD). This volume features state-of-the-art applied statistical modelling strategies developed by leading statisticians and methodologists working in conjunction with behavioural scientists.
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In den WarenkorbZustand: New. A class of longitudinal data has emerged with the use of technological devices for scientific data collection. This class of data is called intensive longitudinal data (ILD). This volume features applied statistical modelling strategies developed by leading statisticians and methodologists working in conjunction with behavioural scientists. Editor(s): Walls, Theodore A.; Schafer, Joseph L. Num Pages: 320 pages, Numerous tables and line drawings. BIC Classification: JHBC; MBNS; PBT. Category: (P) Professional & Vocational. Dimension: 241 x 162 x 19. Weight in Grams: 579. . 2006. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Oxford University Press Inc, US, 2006
ISBN 10: 0195173449 ISBN 13: 9780195173444
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In den WarenkorbHardback. Zustand: New. A new class of longitudinal data has emerged with the use of technological devices for scientific data collection. This class of data is called intensive longitudinal data (ILD). This volume features state-of-the-art applied statistical modelling strategies developed by leading statisticians and methodologists working in conjunction with behavioural scientists.
Verlag: Oxford University Press (2006), Oxford, 2006
Anbieter: Expatriate Bookshop of Denmark, Svendborg, Dänemark
orig.boards Minor rubbing. VG., dustwrapper. 24x15cm, xxii,288 pp. "Rapid technological advances in devices used for data collection have led to the emergence of a new class of longitudinal data: intensive longitudinal data (ILD). Behavioral scientific studies now frequently utilize handheld computers, beepers, web interfaces, and other technological tools for collecting many more data points over time than previously possible. Other protocols, such as those used in fMRI and monitoring of public safety, also produce ILD, hence the statistical models in this volume are applicable to a range of data. The volume features state-of-the-art statistical modeling strategies developed by leading statisticians and methodologists working on ILD in conjunction with behavioral scientists. Chapters present applications from across the behavioral and health sciences, including coverage of substantive topics such as stress, smoking cessation, alcohol use, traffic patterns, educational performance and intimacy. Models for Intensive Longitudinal Data (MILD) is designed for those who want to learn about advanced statistical models for intensive longitudinal data and for those with an interest in selecting and applying a given model. The chapters highlight issues of general concern in modeling these kinds of data, such as a focus on regulatory systems, issues of curve registration, variable frequency and spacing of measurements, complex multivariate patterns of change, and multiple independent series.,." - Publisher's description. Minor rubbing. VG., dustwrapper.
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In den WarenkorbZustand: new. Questo è un articolo print on demand.
Sprache: Englisch
Verlag: Oxford University Press Inc, 2006
ISBN 10: 0195173449 ISBN 13: 9780195173444
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In den WarenkorbHardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Sprache: Englisch
Verlag: Oxford University Press Inc, New York, 2006
ISBN 10: 0195173449 ISBN 13: 9780195173444
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In den WarenkorbHardcover. Zustand: new. Hardcover. Rapid technological advances in devices used for data collection have led to the emergence of a new class of longitudinal data: intensive longitudinal data (ILD). Behavioral scientific studies now frequently utilize handheld computers, beepers, web interfaces, and other technological tools for collecting many more data points over time than previously possible. Other protocols, such as those used in fMRI and monitoring of public safety, also produce ILD, hence thestatistical models in this volume are applicable to a range of data. The volume features state-of-the-art statistical modeling strategies developed by leading statisticians and methodologists workingon ILD in conjunction with behavioral scientists. Chapters present applications from across the behavioral and health sciences, including coverage of substantive topics such as stress, smoking cessation, alcohol use, traffic patterns, educational performance and intimacy. Models for Intensive Longitudinal Data (MILD) is designed for those who want to learn about advanced statistical models for intensive longitudinal data and for those with an interest in selecting andapplying a given model. The chapters highlight issues of general concern in modeling these kinds of data, such as a focus on regulatory systems, issues of curve registration, variable frequency and spacing ofmeasurements, complex multivariate patterns of change, and multiple independent series. The extraordinary breadth of coverage makes this an indispensable reference for principal investigators designing new studies that will introduce ILD, applied statisticians working on related models, and methodologists, graduate students, and applied analysts working in a range of fields. A companion Web site at contains program examples and documentation. A new class of longitudinal data has emerged with the use of technological devices for scientific data collection. This class of data is called intensive longitudinal data(ILD). This volume features state-of-the-art applied statistical modeling strategies developed by leading statisticians and methodologists working in conjunction with behavioral scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A new class of longitudinal data has emerged with the use of technological devices for scientific data collection. This class of data is called intensive longitudinal data (ILD). This volume features state-of-the-art applied statistical modelling strategies developed by leading statisticians and methodologists working in conjunction with behavioural scientists.