Using Time Series to Analyze Long Range Fractal Patterns (Quantitative Applications in the Social Sciences)
Language: English
Published by Sage Publications, 2020
Series: Book 185 of 194 - Quantitative Applications in the Social Sciences
- Softcover
- New

Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
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- Title
- Using Time Series to Analyze Long Range Fractal Patterns (Quantitative Applications in the Social Sciences)
- Author
- Koopmans, Matthijs
- Publisher
- Sage Publications
- Publication year
- 2020
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1544361424
- ISBN 13
- 9781544361420
- Series
- Book 185 of 194: Quantitative Applications in the Social Sciences
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Matthijs Koopmans, professor of educational leadership, joined the faculty at Mercy College in 2011. Previously, he worked for several educational research organizations, including the Strategic Education Research Partnership Institute, Academy for Educational Development and Metis Associates. He has taught at several colleges in the greater New York metropolitan region (Hofstra University, York College/City University of New York, Adelphi University and Yeshiva University). As an independent contractor, he has conducted evaluations for MGT of America, Institute for Student Achievement, National Urban Technology Center and Newark Public Schools. In scholarship, his areas of focus are the application of complexity theory to education, cause and effect relationships, and the estimation of fractal patterns in time series data. This book pursues the latter interest, which stems from a belief that the effective application of principles of complexity theory in the social sciences should include attempts to extend conventional parametric models to the estimation of dynamical processes. He published his research in numerous peer-reviewed journals and continues to present his work at national and international scholarly conferences. He is a founding editor of the International Journal of Complexity in Education and serves on the editorial board of Nonlinear Dynamics, Psychology, and Life Sciences. He earned his Doctorate in 1988 from the Harvard Graduate School of Education.
"About the title" may belong to another edition of this title.
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