Titlebook: Handbook of Statistical Modeling for the Social and Behavioral Sciences; Gerhard Arminger,Clifford C. Clogg,Michael E. Sobe Book 1995 Spri

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潜移默化

Specification and Estimation of Mean- and Covariance-Structure Models, mean vectors and covariance matrices. They have more recently received considerable attention and been expanded to incorporate a variety of additional models. Covariance structures, some with associated mean structures, occur in psychology, economics, education, marketing, sociology, biometrics, an

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Panel Analysis for Metric Data,time on a given unit. A panel (or longitudinal or temporal cross-sectional) data set follows a number of individuals over time. In recent years empirical studies that use panel data have become common. This is partly because the cost of developing panel or longitudinal data sets is no longer prohibi

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Geyser

Analysis of Event Histories,s discrete or continuous. Over time it evolves as follows. For finite periods of time (from one calendar date to another) it stays constant at a given value. At a later date, which is a random variable, the dependent variable jumps to a new value. The process evolves in this manner from the calendar

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Random Coefficient Models,or from observational studies with no formal sampling design. Simple random sampling is often not feasible, or its use would yield data with less information about certain features of interest, and it is often economically prohibitive. For example, in studies of school effectiveness it may be diffic

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Michael E. Sobeltelligence (AI), Internet of things (IoT), big data, smart materials, and additive manufacturing (AM). This book is intended for transportation professionals, policy makers, researchers, practicing engineers, 978-3-031-47614-3978-3-031-47612-9Series ISSN 2522-8714 Series E-ISSN 2522-8722

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Random Coefficient Models,cted individual, it would make sense to collect data from the rest of the members of the household at the same time. When this is done, we usually end up with data for which the standard assumptions of independence (such as in ordinary regression) are inappropriate.