Overview
Presents a broad range of growth curve models with immense potential to solve real-world problems
Fosters investigation into various key theoretical issues
Provides deep insight into a little understood, underlying process that culminates in observable phenomena
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book describes recent trends in growth curve modelling research in various subject areas, both theoretical and applied. It explains and explores the growth curve model as a valuable tool for gaining insights into several research topics of interest to academics and practitioners alike. The book’s primary goal is to disseminate applications of the growth curve model to real-world problems, and to address related theoretical issues. The book will be of interest to a broad readership: for applied statisticians, it illustrates the importance of growth curve modelling as applied to actual field data; for more theoretically inclined statisticians, it highlights a number of theoretical issues that warrant further investigation.
Editors and Affiliations
About the editor
Professor Ratan Dasgupta is a Senior Professor of Statistics at the Theoretical Statistics and Mathematics Unit, Indian Statistical Institute, Kolkata. His research interests include non-parametric statistics, rates of convergence in the central limit theorem, and the application of statistics to industrial quality control, biology, physics, sociology, agriculture, education, environment and other natural sciences. He has been at the forefront of promoting the theory and applications of growth curve modelling. His knowledge, expertise and extensive publication record on the topic, as well as his outstanding theoretical skills, make him uniquely qualified to edit this volume.
Bibliographic Information
Book Title: Advances in Growth Curve and Structural Equation Modeling
Book Subtitle: Topics from the Indian Statistical Institute on the 125th Birth Anniversary of PC Mahalanobis
Editors: Ratan Dasgupta
DOI: https://doi.org/10.1007/978-981-13-1843-6
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-13-1842-9Published: 27 September 2018
Softcover ISBN: 978-981-13-4692-7Published: 29 December 2018
eBook ISBN: 978-981-13-1843-6Published: 19 September 2018
Edition Number: 1
Number of Pages: XII, 192
Number of Illustrations: 19 b/w illustrations, 25 illustrations in colour
Topics: Statistics for Business, Management, Economics, Finance, Insurance, Economic Growth, Economic Theory/Quantitative Economics/Mathematical Methods