Growth Curve and Structural Equation Modeling Topics from the Indian Statistical Institute /

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 t...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dasgupta, Ratan. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Springer Proceedings in Mathematics & Statistics, 132
Subjects:
Online Access:https://doi.org/10.1007/978-3-319-17329-0
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Table of Contents:
  • Plant Sensitivity and Growth Curve Analysis of Elephant Foot Yam.-  Some remarks on pseudo panel data
  • Rates of convergence in CLT for two sample U-statistics in non iid case and multiphasic growth curve
  • Estimation of animal abundance through imperfectly characterizing signatures
  • Growth Curve of Elephant Foot Yam, One sided Estimation and Confidence Band
  • Interrelationship between Economic Growth and Income Inequality: The Indian Experience
  • Growth Curve reconstruction in Damaged Experiment via Nonlinear Calibration
  • Growth Curve of Phase change in presence of Polycystic Ovary Syndrome
  • Declining patterns of average height of adult Indians between 20-49 years: State wise trends and influence of socioeconomic factors
  • Growth Model of some Vernacular Word Usage during Political Transition
  • Some Further Results on Nonuniform Rates of Convergence to Normality in Finite Population with applications
  • Unbounded Growth Model for Word Frequencies in Political Transition
  • A Statistical Analysis of micro RNA: classification, identification and conservation based on structure and function
  • Longitudinal Growth of Elephant Foot Yam and Some Characterization Theorems- Optimal Choice of Small Regular Shapes for Accidentally Damaged Tessellation.