Overview
- Researchers specializing in Growth Model share theoretical and applied contributions
- Readers may learn from the tools and techniques discussed, in addition to witnessing the different directions of growth curve model
- Methodology is particularly relevant to health care, prediction of crop yield, child nutrition, poverty measurements, and estimation of growth rate in any given scenario
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 132)
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Table of contents (15 papers)
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Front Matter
Keywords
About this book
This book describes some recent trends in GCM research on different subject areas, both theoretical and applied. This includes tools and possibilities for further work through new techniques and modification of existing ones. A growth curve is an empirical model of the evolution of a quantity over time. Growth curves in longitudinal studies are used in disciplines including biology, statistics, population studies, economics, biological sciences, sociology, nano-biotechnology, and fluid mechanics. The volume includes original studies, theoretical findings and case studies from a wide range of applied work. This volume builds on presentations from a GCM workshop held at the Indian Statistical Institute, Giridih, January 18-19, 2014. This book follows the volume Advances in Growth Curve Models, published by Springer in 2013. The results have meaningful application in health care, prediction of crop yield, child nutrition, poverty measurements, estimation of growth rate, and other research areas.​ ​​
Editors and Affiliations
Bibliographic Information
Book Title: Growth Curve and Structural Equation Modeling
Book Subtitle: Topics from the Indian Statistical Institute
Editors: Ratan Dasgupta
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-17329-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-17328-3Published: 10 June 2015
Softcover ISBN: 978-3-319-36267-0Published: 13 October 2016
eBook ISBN: 978-3-319-17329-0Published: 29 May 2015
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XII, 299
Number of Illustrations: 71 b/w illustrations, 98 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Statistical Theory and Methods, Statistics, general