Description: Models For Intensive Longitudinal Data, Hardcover by Walls, Theodore A. (EDT); Schafer, J. L. (EDT), ISBN 0195173449, ISBN-13 9780195173444, Like New Used, Free shipping in the US Writing for statisticians, data analysts, and methodologically oriented researchers in the social sciences, health science, engineering, and other fields, Walls (psychology, U. of Rhode Island) and Schafer (statistics, Pennsylvania State U.) demonstrate and explain new statistical approaches for the analysis of intensive longitudinal data. Intensive longitudinal data arises in "any situation where quantitative or qualitative characteristics of multiple individuals or study units are recorded at more than a handful of time points" and includes "situations involving continuous-time measurement of recurrent events, provided that the period of measurement is long enough for a large number of these events to be potentially observed for each subject." Initial chapters focus on multilevel models, while later chapters examine such methodological tools from response theory, functional data analysis, time series, state-space modeling, analysis of dynamical systems through stochastic differential equations, engineering control systems, and point process models. Annotation ©2006 Book News, Inc., Portland, OR ()
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Book Title: Models For Intensive Longitudinal Data
Number of Pages: 320 Pages
Language: English
Publication Name: Models for Intensive Longitudinal Data
Publisher: Oxford University Press, Incorporated
Item Height: 0.9 in
Subject: Probability & Statistics / General, Research, Statistics
Publication Year: 2006
Item Weight: 20.4 Oz
Type: Textbook
Item Length: 6.4 in
Author: Joseph L. Schafer
Subject Area: Mathematics, Social Science
Item Width: 9.3 in
Format: Hardcover
