Dasgupta Growth Curve Models and Applications

Indian Statistical Institute, Giridih, India, March 28-29, 2016
1. Auflage 2017
ISBN: 978-3-319-63886-7
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)

E-Book, Englisch, Band 204, 253 Seiten, eBook

Reihe: Springer Proceedings in Mathematics & Statistics

Growth curve models in longitudinal studies are widely used to model population size, body height, biomass, fungal growth, and other variables in the biological sciences, but these statistical methods for modeling growth curves and analyzing longitudinal data also extend to general statistics, economics, public health, demographics, epidemiology, SQC, sociology, nano-biotechnology, fluid mechanics, and other applied areas.  

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 applied work, and these contributions have been externally refereed to the high quality standards of leading journals in the field.

Zielgruppe

Research

Autoren/Hrsg.

Dasgupta, Ratan

Über Autor(innen)

Ratan Dasgupta, Ph.D., 
is Professor at the Indian Statistical Institute, Kolkata.  Apart from his Ph.D topic on rates of convergence in CLT, his areas of research interest include applications of Statistics in Quality Control, fluid mechanics, environment, physics, and other areas of applied statistics. He has published roughly 70 research papers.