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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.
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.
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.
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.
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.
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. This conference took
place between March 28-30, 2012 in Giridih, Jharkhand, India.
Jharkhand is a tribal area. Advances in Growth Curve Models: Topics
from the Indian Statistical Institute shares the work of
researchers in growth models used in multiple fields. A growth
curve is an empirical model of the evolution of a quantity over
time. Case studies and theoretical findings, important applications
in everything from health care to population projection, form the
basis of this volume. Growth curves in longitudinal studies are
widely used in many disciplines including: Biology, Population
studies, Economics, Biological Sciences, SQC, Sociology,
Nano-biotechnology, and Fluid mechanics. Some included reports are
research topics that have just been developed, whereas others
present advances in existing literature. Both included tools and
techniques will assist students and researchers in their future
work. Also included is a discussion of future applications of
growth curve models.
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.
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. This conference took
place between March 28-30, 2012 in Giridih, Jharkhand, India.
Jharkhand is a tribal area. Advances in Growth Curve Models: Topics
from the Indian Statistical Institute shares the work of
researchers in growth models used in multiple fields. A growth
curve is an empirical model of the evolution of a quantity over
time. Case studies and theoretical findings, important applications
in everything from health care to population projection, form the
basis of this volume. Growth curves in longitudinal studies are
widely used in many disciplines including: Biology, Population
studies, Economics, Biological Sciences, SQC, Sociology,
Nano-biotechnology, and Fluid mechanics. Some included reports are
research topics that have just been developed, whereas others
present advances in existing literature. Both included tools and
techniques will assist students and researchers in their future
work. Also included is a discussion of future applications of
growth curve models.
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