Growth Curve Models and Applications: Indian Statistical Institute, Giridih, India, March 28-29, 2016 (Springer Proceedings in Mathematics & Statistics Book 204)

Growth curve models in longitudinal studies are widely used to model population size, body height, biomass, fungal growth, and other variables in the biological sciences, but these statistical methods for modeling growth curves and analyzing longitudinal data also extend to general statistics, economics, public health, demographics, epidemiology, SQC, sociology, nano-biotechnology, fluid mechanics, and other applied areas. There is no one-size-fits-all approach to growth measurement. The selected papers in this volume build on presentations from the GCM workshop held at the Indian Statistical Institute, Giridih, on March 28-29, 2016. They represent recent trends in GCM research on different subject areas, both theoretical and applied. This book includes tools and possibilities for further work through new techniques and modification of existing ones. The volume includes original studies, theoretical findings and case studies from a wide range of app lied work, and these contributions have been externally refereed to the high quality standards of leading journals in the field. Theoretical findings and case studies are reported from a wide range of fundamental and applied work across the broad range of natural sciences that comprise Growth Curve Modeling Methodology is particularly relevant to health care, prediction of crop yield, child nutrition, poverty measurements, and estimation of growth rate in any given scenario All papers feature original, peer-reviewed content Ratan Dasgupta, Ph.D., is Professor at the Indian Statistical Institute, Kolkata. Apart from his Ph.D topic on rates of convergence in CLT, his areas of research interest include applications of Statistics in Quality Control, fluid mechanics, environment, physics, and other areas of applied statistics. He has published roughly 70 research papers. Growth curve models in longitudinal studies are widely used to model population size, body height, biomass, fungal growth, and other variables in the biological sciences, but these statistical methods for modeling growth curves and analyzing longitudinal data also extend to general statistics, economics, public health, demographics, epidemiology, SQC, sociology, nano-biotechnology, fluid mechanics, and other applied areas. There is no one-size-fits-all approach to growth measurement. The selected papers in this volume build on presentations from the GCM workshop held at the Indian Statistical Institute, Giridih, on March 28-29, 2016. They represent recent trends in GCM research on different subject areas, both theoretical and applied. This book includes tools and possibilities for further work through new techniques and modification of existing ones. The volume includes original studies, theoretical findings and case studies from a wide range of app lied work, and these contributions have been externally refereed to the high quality standards of leading journals in the field. Theoretical findings and case studies are reported from a wide range of fundamental and applied work across the broad range of natural sciences that comprise Growth Curve Modeling Methodology is particularly relevant to health care, prediction of crop yield, child nutrition, poverty measurements, and estimation of growth rate in any given scenario All papers feature original, peer-reviewed content Ratan Dasgupta, Ph. D., is Professor at the Indian Statistical Institute, Kolkata. Apart from his Ph. D topic on rates of convergence in CLT, his areas of research interest include applications of Statistics in Quality Control, fluid mechanics, environment, physics, and other areas of applied statistics. He has published roughly 70 research papers Front Matter ....Pages i-xvii Growth Curve of Elephant-Foot-Yam, Plant Stress and Mann-Whitney U-Statistics (Ratan Dasgupta)....Pages 1-41 Protein Structure Modeling of Abnormal Genes Associated with PARK 1 and PARK 8 Loci Related to Autosomal Dominant Parkinson’s Disease and Docking the Protein(s) with Appropriate Ligands (Sanchari Roy, T. S. Vasulu)....Pages 43-89 Time Detection for Ovulation in a Cycle in Presence of Polycystic Ovary Syndrome (Ratan Dasgupta)....Pages 91-104 Growth Model for Micro-Particles Towards Indistinguishability and Dirichlet Prior (Ratan Dasgupta)....Pages 105-113 Coconut Plant Growth, Mahalanobis Distance, and Jeffreys’ Prior (Ratan Dasgupta)....Pages 115-125 Growth Rate of Primary School Children in Kolkata, India (Susmita Bharati, Manoranjan Pal, Madhuparna Srivastava, Premananda Bharati)....Pages 127-149 Growth Curve Estimation of a Bulb Crop from Incomplete Data (Ratan Dasgupta)....Pages 151-167 Tackling Poverty Through Balanced Growth: A Study on India (Sattwik Santra, Samarjit Das)....Pages 169-181 Model Selection and Validation in Agricultural Context: Extended Uniform Distribution and Some Characterization Theorems (Ratan Dasgupta)....Pages 183-197 Longitudinal Growth Curve of Elephant Foot Yam Under Extreme Stress and Plant Sensitivity II (Ratan Dasgupta)....Pages 199-213 An In-Depth Analysis of Population Ageing for Selected States in India in the Perspective of Economic Development (Prasanta Pathak)....Pages 215-233 Growth Curve of Yam from Incomplete Data in Saline Soil of Sunderban (Ratan Dasgupta)....Pages 235-253