Growth Curve and Structural Equation Modeling: Topics from the Indian Statistical Institute (Springer Proceedings in Mathematics & Statistics Book 132)
معرفی کتاب «Growth Curve and Structural Equation Modeling: Topics from the Indian Statistical Institute (Springer Proceedings in Mathematics & Statistics Book 132)» نوشتهٔ Ratan Dasgupta (eds.)، منتشرشده توسط نشر Springer International Publishing : Imprint: Springer در سال 2015. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
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 time. Growth curves in longitudinal studies are used in disciplines including biology, statistics, population studies, economics, biological sciences, sociology, nano-biotechnology, and fluid mechanics. The volume includes original studies, theoretical findings and case studies from a wide range of applied work. This volume builds on presentations from a GCM workshop held at the Indian Statistical Institute, Giridih, January 18-19, 2014. This book follows the volume __Advances in Growth Curve Models__, published by Springer in 2013. The results have meaningful application in health care, prediction of crop yield, child nutrition, poverty measurements, estimation of growth rate, and other research areas. 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 Time. Growth Curves In Longitudinal Studies Are Used In Disciplines Including Biology, Statistics, Population Studies, Economics, Biological Sciences, Sociology, Nano-biotechnology, And Fluid Mechanics. The Volume Includes Original Studies, Theoretical Findings And Case Studies From A Wide Range Of Applied Work. This Volume Builds On Presentations From A Gcm Workshop Held At The Indian Statistical Institute, Giridih, January 18-19, 2014. This Book follows The Volume advances In Growth Curve Models, Published By Springer In 2013. The Results Have Meaningful Application In Health Care, Prediction Of Crop Yield, Child Nutrition, Poverty Measurements, Estimation Of Growth Rate, And Other Research Areas. 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. Edited By Ratan Dasgupta. Front Matter....Pages i-xii Plant Sensitivity and Growth Curve Analysis of Elephant Foot Yam....Pages 1-23 Some Remarks on Pseudo Panel Data....Pages 25-34 Rates of Convergence in CLT for Two Sample U-Statistics in Non iid Case and Multiphasic Growth Curve....Pages 35-58 Estimation of Animal Abundance Through Imperfectly Characterising Signatures....Pages 59-74 Growth Curve of Elephant Foot Yam, One Sided Estimation and Confidence Band....Pages 75-103 Interrelationship Between Economic Growth and Income Inequality: The Indian Experience....Pages 105-118 Growth Curve Reconstruction in Damaged Experiment via Nonlinear Calibration....Pages 119-134 Growth Curve of Phase Change in Presence of Polycystic Ovary Syndrome....Pages 135-149 Declining Patterns of Average Height of Adult Indians Between 20 and 49 Years: State Wise Trends and Influence of Socioeconomic Factors....Pages 151-170 Growth Model of Some Vernacular Word Usage During Political Transition....Pages 171-193 Some Further Results on Nonuniform Rates of Convergence to Normality in Finite Population with Applications....Pages 195-208 Unbounded Growth Model for Word Frequencies in Political Transition....Pages 209-221 A Statistical Analysis of MicroRNA: Classification, Identification and Conservation Based on Structure and Function....Pages 223-258 Longitudinal Growth of Elephant Foot Yam and Some Characterisation Theorems....Pages 259-285 Optimal Choice of Small Regular Shapes for Accidentally Damaged Tessellation....Pages 287-299 "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 time. Growth curves in longitudinal studies are used in disciplines including biology, statistics, population studies, economics, biological sciences, sociology, nano-biotechnology, and fluid mechanics. The volume includes original studies, theoretical findings and case studies from a wide range of applied work. This volume builds on presentations from a GCM workshop held at the Indian Statistical Institute, Giridih, January 18-19, 2014. This book follows the volume Advances in Growth Curve Models, published by Springer in 2013. The results have meaningful application in health care, prediction of crop yield, child nutrition, poverty measurements, estimation of growth rate, and other research areas." -- Back cover
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