Growth Curve and Structural Equation Modeling

Topics from the Indian Statistical Institute

  • Ratan Dasgupta

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 132)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Ratan Dasgupta, Jayanta K. Ghosh, Sugato Chakravarty, Jyotishka Datta
    Pages 25-34
  3. Mohua Chakraborty, Ananya Chatterjee, Krithika S, Vasulu T. S.
    Pages 223-258

About these proceedings

Introduction

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.​ ​​

Keywords

Child growth Growth curve in agriculture monitoring Growth model Panel count data Poverty inequality Process capability index Structural Equation Modeling

Editors and affiliations

  • Ratan Dasgupta
    • 1
  1. 1.Indian Statistical InstituteTheoretical Statistics and Mathematics unitKolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-17329-0
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-17328-3
  • Online ISBN 978-3-319-17329-0
  • Series Print ISSN 2194-1009
  • Series Online ISSN 2194-1017
  • About this book