Growth Curve Models and Applications, Ratan Dasgupta

Автор: Haines Duane E.
Название: Fundamental Neuroscience for Basic and Clinical Applications
ISBN: 0323396321 ISBN-13(EAN): 9780323396325
Издательство: Elsevier Science
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Using a rigorous yet clinically-focused approach, Fundamental Neuroscience for Basic and Clinical Applications, 5th Edition, covers the fundamental neuroscience information needed for coursework, exams, and beyond. It integrates neuroanatomy, pharmacology, and physiology, and offers a full section devoted to systems neurobiology, helping you comprehend and retain the complex material you need to know.

• Highlights clinical content in blue throughout the text, helping you focus on what you need to know in the clinical environment.

• Presents thoroughly updated information in every chapter, with an emphasis on new clinical thinking as related to the brain and systems neurobiology.
• Features hundreds of correlated state-of-the-art imaging examples, anatomical diagrams, and histology photos - nearly half are new or improved for this edition.
• Pays special attention to the correct use of clinical and anatomical terminology, and provides new clinical text and clinical-anatomical correlations.

Автор: Mirman
Название: Growth Curve Analysis and Visualization Using R
ISBN: 1466584327 ISBN-13(EAN): 9781466584327
Издательство: Taylor&Francis
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Описание: Learn How to Use Growth Curve Analysis with Your Time Course Data An increasingly prominent statistical tool in the behavioral sciences, multilevel regression offers a statistical framework for analyzing longitudinal or time course data. It also provides a way to quantify and analyze individual differences, such as developmental and neuropsychological, in the context of a model of the overall group effects. To harness the practical aspects of this useful tool, behavioral science researchers need a concise, accessible resource that explains how to implement these analysis methods. Growth Curve Analysis and Visualization Using R provides a practical, easy-to-understand guide to carrying out multilevel regression/growth curve analysis (GCA) of time course or longitudinal data in the behavioral sciences, particularly cognitive science, cognitive neuroscience, and psychology. With a minimum of statistical theory and technical jargon, the author focuses on the concrete issue of applying GCA to behavioral science data and individual differences. The book begins with discussing problems encountered when analyzing time course data, how to visualize time course data using the ggplot2 package, and how to format data for GCA and plotting. It then presents a conceptual overview of GCA and the core analysis syntax using the lme4 package and demonstrates how to plot model fits. The book describes how to deal with change over time that is not linear, how to structure random effects, how GCA and regression use categorical predictors, and how to conduct multiple simultaneous comparisons among different levels of a factor. It also compares the advantages and disadvantages of approaches to implementing logistic and quasi-logistic GCA and discusses how to use GCA to analyze individual differences as both fixed and random effects. The final chapter presents the code for all of the key examples along with samples demonstrating how to report GCA results. Throughout the book, R code illustrates how to implement the analyses and generate the graphs. Each chapter ends with exercises to test your understanding. The example datasets, code for solutions to the exercises, and supplemental code and examples are available on the author’s website.

Автор: Dasgupta
Название: Advances in Growth Curve and Structural Equation Modeling
ISBN: 9811309795 ISBN-13(EAN): 9789811309793
Издательство: Springer
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Описание: Longitudinal studies on Mathematical Aptitude and Intelligence Quotient in North Eastern tribes.- Cross sectional studies on Mathematical Aptitude and Intelligent Quotient in North Eastern tribes.- Retrospective longitudinal studies of social environment in North Eastern tribes.- Growth models for repeated measurement mixture experiments.- Growth models for repeated measurement mixture experiments: optimal designs for growth prediction.- An overview of growth and nutritional status among 5-18 year children in India.- Growth model for micro-particle ensemble probability.- Past and present status of Mangroves in Sunderban from ecological viewpoint.- Longitudinal Growth curve of Elephant foot yam under stress and plant sensitivity.

Автор: Nyholm, Ken (european Central Bank, Frankfurt)
Название: Practitioner`s guide to discrete-time yield curve modelling
ISBN: 1108972128 ISBN-13(EAN): 9781108972123
Издательство: Cambridge Academ
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Описание: This Element is intended for students and practitioners as a gentle and intuitive introduction to the field of discrete-time yield curve modelling. I strive to be as comprehensive as possible, while still adhering to the overall premise of putting a strong focus on practical applications.

Автор: Ratan Dasgupta
Название: Advances in Growth Curve and Structural Equation Modeling
ISBN: 9811345430 ISBN-13(EAN): 9789811345432
Издательство: Springer
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Описание: This book explains and explores the growth curve model as a tool to gain insights into various research topics of interest to academics and practitioners alike. It includes studies on growth models for repeated measurement mixture experiments, and optimal designs for growth prediction in order to find an optimum design for the most efficient estimation of the parameters of the mixture models. It presents longitudinal studies conducted on the mathematical aptitude and intelligence quotient of tribal population in North Eastern states of India, and innovative statistical analysis showing that the status of tribes is improving over time. These results are supplemented by similar cross- sectional studies, and a retrospective longitudinal study of the social environment in North Eastern tribes indicating that the growth status of the social environment is improving. Child health is an important topic in developing countries, and as such the book features an overview of the growth and nutritional status of children aged 5 to 18 in India. Characterization of Extended Uniform Distribution and its applications for quality control in industrial production, and in yield data of tuber crops among others are discussed. Characterizations of distribution in terms of performance rate are also proved. There is also a contribution examining the past and present status of mangroves in Sunderban region of the Indian state of West Bengal from an ecological viewpoint using a growth curve model set-up. Lastly, it includes a chapter on a statistical study of platelet size decomposition and related growth model. Highlighting the importance of growth curve modelling as it applies to actual field data and encouraging more theoretically inclined statisticians to look into theoretical issues that need investigation, the book disseminates applications of the growth curve model to real-world problems and addresses related theoretical issues for the attention of theoreticians and practitioners.

Автор: Sam Efromovich
Название: Nonparametric Curve Estimation
ISBN: 1475773013 ISBN-13(EAN): 9781475773019
Издательство: Springer
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Описание: This book gives a systematic, comprehensive, and unified account of modern nonparametric statistics of density estimation, nonparametric regression, filtering signals, and time series analysis.

Автор: Jian-Xin Pan; Kai-Tai Fang
Название: Growth Curve Models and Statistical Diagnostics
ISBN: 1441928642 ISBN-13(EAN): 9781441928641
Издательство: Springer
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Цена: 23058.00 р.
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Описание: This book systematically introduces the theory of the GCM with particular emphasis on their multivariate statistical diagnostics, which are based mainly on recent developments made by the authors and their collaborators. Provided are complete proofs of theorems as well as practical data sets and MATLAB code.

Автор: Ratan Dasgupta
Название: Advances in Growth Curve and Structural Equation Modeling
ISBN: 9811318425 ISBN-13(EAN): 9789811318429
Издательство: Springer
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Описание: 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.

Автор: Ratan Dasgupta
Название: Growth Curve Models and Applications
ISBN: 3319638858 ISBN-13(EAN): 9783319638850
Издательство: Springer
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Цена: 19564.00 р.
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Описание: 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 applied work, and these contributions have been externally refereed to the high quality standards of leading journals in the field.

Автор: Ratan Dasgupta
Название: Advances in Growth Curve Models
ISBN: 1461468612 ISBN-13(EAN): 9781461468615
Издательство: Springer
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Описание: Advances in Growth Curve Models: Topics from the Indian Statistical Institute is developed from the Indian Statistical Institute`s A National Conference on Growth Curve Models. Advances in Growth Curve Models: Topics from the Indian Statistical Institute shares the work of researchers in growth models used in multiple fields.

Автор: Ratan Dasgupta
Название: Advances in Growth Curve Models
ISBN: 1489992758 ISBN-13(EAN): 9781489992758
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Advances in Growth Curve Models: Topics from the Indian Statistical Institute is developed from the Indian Statistical Institute`s A National Conference on Growth Curve Models. Advances in Growth Curve Models: Topics from the Indian Statistical Institute shares the work of researchers in growth models used in multiple fields.

Автор: Ratan Dasgupta
Название: Advances in Growth Curve and Structural Equation Modeling
ISBN: 9811346925 ISBN-13(EAN): 9789811346927
Издательство: Springer
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Цена: 6986.00 р.
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Описание: 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.