Advances in Growth Curve Models, Ratan Dasgupta

Автор: Ratan Dasgupta
Название: Growth Curve and Structural Equation Modeling
ISBN: 3319173286 ISBN-13(EAN): 9783319173283
Издательство: Springer
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Описание: 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.

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: 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: 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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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: 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: 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: Lazlo Gy?rfi; Wolfgang H?rdle; Pascal Sarda; Phili
Название: Nonparametric Curve Estimation from Time Series
ISBN: 0387971742 ISBN-13(EAN): 9780387971742
Издательство: Springer
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Цена: 16070.00 р.
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Описание: Because of the sheer size and scope of the plastics industry, the title Developments in Plastics Technology now covers an incredibly wide range of subjects or topics.

Автор: Duangkamon Chotikapanich
Название: Modeling Income Distributions and Lorenz Curves
ISBN: 1441924930 ISBN-13(EAN): 9781441924933
Издательство: Springer
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Цена: 29209.00 р.
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Описание: The parameterization of income distributions using Lorenz Curves is a useful technique to analyze the characteristics of income inequality within a given population. This book brings together classic papers in the field including cutting-edge contributions.

Автор: Elderton
Название: Frequency Curves and Correlation
ISBN: 1107601290 ISBN-13(EAN): 9781107601291
Издательство: Cambridge Academ
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Описание: This 1906 work, with its many later improvements, became a standard textbook on curve-fitting. Reprinted here is the 1953 fourth edition of the book containing a preface by the author, Sir William Elderton, in which he comments on the changes that he introduced.