qBy making both causal and process analyses possible, panel data has enjoyed increasing popularity in empirical science. In this compilation, several statistical techniques are presented in the face of a growing need to analyze panel data. Measurement error, missing data, heterogeneous populations and particular requirements for causal interference make the analysis of change more difficult. Readers will find up-to-date approaches covering a wide range of topics. Among these are loglinear and probit models, state space models, and structural equation and multilevel growth curve models of panel data.q--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights ReservedLiptser, R. S.; Shiryayev, A. N. (1977, 1978): Statistics of random processes, Volumes I and II. ... for the simulation, graphical display, optimal filtering and maximum likelihood estimation of Linear Stochastic Differential Equations, Usera#39;s guide.
|Title||:||Analysis of Change|
|Author||:||Uwe Engel, Jost Reinecke|
|Publisher||:||Walter de Gruyter - 1996|