Walls theodore a (6 Ergebnisse)

Hardcover. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

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 : .

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: 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.…

Zustand: New. In.

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.…