Following the suggestions of Kuh, Klein and Zellner, I have adopted the 1inear regression models with some or all of their coefficients varying randomly across individuals. The random coefficient approach considered in this study ...
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Language: en
Pages: 210
Pages: 210
This short monograph which presents a unified treatment of the theory of estimating an economic relationship from a time series of cross-sections, is based on my Ph. D. dissertation submitted to the University of Wisconsin, Madison. To the material developed for that purpose, I have added the substance of two
Language: en
Pages: 154
Pages: 154
In this monograph we have considered a class of autoregressive models whose coefficients are random. The models have special appeal among the non-linear models so far considered in the statistical literature, in that their analysis is quite tractable. It has been possible to find conditions for stationarity and stability, to
Language: en
Pages: 562
Pages: 562
This is a book about applied multilevel and longitudinal modeling. Other terms for multilevel models include hierarchical models, random-effects or random-coefficient models, mixed-effects models, or simply mixed models. Longitudinal data are also referred to as panel data, repeated measures, or cross-sectional time series. A popular type of multilevel model for
Language: en
Pages: 162
Pages: 162
Books about Minimum Distance Procedures in Nonlinear Random Coefficient Models
Language: en
Pages: 272
Pages: 272
The main methods, techniques and issues for carrying out multilevel modeling and analysis are covered in this book. The book is an applied introduction to the topic, providing a clear conceptual understanding of the issues involved in multilevel analysis and will be a useful reference tool. Information on designing multilevel