Overview
- Theoretical findings and case studies are reported from a wide range of fundamental and applied work across the broad range of natural sciences that comprise Growth Curve Modeling
- Methodology is particularly relevant to health care, prediction of crop yield, child nutrition, poverty measurements, and estimation of growth rate in any given scenario
- All papers feature original, peer-reviewed content
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 204)
Included in the following conference series:
Conference proceedings info: GCM 2016.
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Table of contents (12 papers)
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Growth Curve Models and Applications
Keywords
About this book
There is no one-size-fits-all approach to growth measurement. The selected papers in this volume build on presentations from the GCM workshop held at the Indian Statistical Institute, Giridih, on March 28-29, 2016. They represent recent trends in GCM research on different subject areas, both theoretical and applied. This book includes tools and possibilities for further work through new techniques and modification of existing ones. The volume includes original studies, theoretical findings and case studies from a wide range of app
lied work, and these contributions have been externally refereed to the high quality standards of leading journals in the field.Â
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Growth Curve Models and Applications
Book Subtitle: Indian Statistical Institute, Giridih, India, March 28-29, 2016
Editors: Ratan Dasgupta
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-63886-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-63885-0Published: 28 September 2017
Softcover ISBN: 978-3-319-87663-4Published: 11 August 2018
eBook ISBN: 978-3-319-63886-7Published: 27 September 2017
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XVII, 253
Number of Illustrations: 42 b/w illustrations, 154 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Biostatistics, Statistics and Computing/Statistics Programs, Probability and Statistics in Computer Science, Statistics for Business, Management, Economics, Finance, Insurance