Advances in Growth Curve and Structural Equation Modeling: Topics from the Indian Statistical Institute on the 125th Birth Anniversary of PC Mahalanobis

Author:   Ratan Dasgupta
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2018
ISBN:  

9789811318429


Pages:   192
Publication Date:   27 September 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Advances in Growth Curve and Structural Equation Modeling: Topics from the Indian Statistical Institute on the 125th Birth Anniversary of PC Mahalanobis


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Overview

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.  

Full Product Details

Author:   Ratan Dasgupta
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2018
Weight:   0.477kg
ISBN:  

9789811318429


ISBN 10:   9811318425
Pages:   192
Publication Date:   27 September 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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.

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