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Advances in Growth Curve Models

Topics from the Indian Statistical Institute

  • Ratan┬áDasgupta

Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 46)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Tapio Nummi, Nicholas Mesue
    Pages 49-59
  3. H. Maity, R. Dasgupta, B. S. Mazumder
    Pages 131-148
  4. Ratan Dasgupta
    Pages 185-197
  5. Ratan Dasgupta, Avinash Dharmadhikari
    Pages 241-256

About these proceedings

Introduction

Advances in Growth Curve Models: Topics from the Indian Statistical Institute is developed from the Indian Statistical Institute's A National Conference on Growth Curve Models. This conference took place between March 28-30, 2012 in Giridih, Jharkhand, India. Jharkhand is a tribal area. Advances in Growth Curve Models: Topics from the Indian Statistical Institute shares  the work of researchers in growth models used in multiple fields.  A growth curve is an empirical model of the evolution of a quantity over time. Case studies and theoretical findings, important applications in everything from health care to population projection, form the basis of this volume. Growth curves in longitudinal studies are widely used in many disciplines including: Biology, Population studies, Economics, Biological Sciences, SQC, Sociology, Nano-biotechnology, and Fluid mechanics. Some included reports are research topics that have just been developed, whereas others present advances in existing literature. Both included tools and techniques will assist students and researchers in their future work. Also included is a discussion of future applications of growth curve models.  

Keywords

Growth Model extremal process ozone profile smoothing splines turbulence

Editors and affiliations

  • Ratan┬áDasgupta
    • 1
  1. 1.Indian Statistical Institute Professor, Stat-Math UnitCalcuttaIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-6862-2
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-6861-5
  • Online ISBN 978-1-4614-6862-2
  • Series Print ISSN 2194-1009
  • Series Online ISSN 2194-1017
  • Buy this book on publisher's site
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