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An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.
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Über die Autorin bzw. den Autor
E. W. Frees is a Professor of Business at the University of Wisconsin-Madison and is holder of the Fortis Health Insurance Professorship of Actuarial Science. He is a Fellow of both the Society of Actuaries and the American Statistical Association. He has served in several editorial capacities including Editor of the North American Actuarial Journal and Associate Editor for Insurance: Mathematics and Economics. An award-winning researcher, he as published in the leading refereed academic journals in Business and Economics and Theoretical and Applied Statistics.
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Longitudinal and Panel Data: Analysis and Applications in the Social Sciences
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Cambridge University Press, 2004
ISBN 10: 0521828287
ISBN 13: 9780521828284
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Longitudinal and Panel Data : Analysis and Applications in the Social Sciences
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Longitudinal and Panel Data: Analysis and Applications in the Social Sciences
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Cambridge University Press, 2004
ISBN 10: 0521828287
ISBN 13: 9780521828284
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Longitudinal and Panel Data : Analysis and Applications in the Social Sciences
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social science disciplines. The author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science students as well as individual researchers. He emphasizes mathematical and statistical fundamentals but also describes substantive applications from across the social sciences, showing the breadth and scope that these models enjoy. The applications are enhanced by real-world data sets and software programs in SAS and Stata. Artikel-Nr. 9780521828284
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