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This volume presents state of the art theories, new developments,
and important applications of Partial Least Square (PLS) methods.
The text begins with the invited communications of current leaders
in the field who cover the history of PLS, an overview of
methodological issues, and recent advances in regression and
multi-block approaches. The rest of the volume comprises selected,
reviewed contributions from the 8th International Conference on
Partial Least Squares and Related Methods held in Paris, France, on
26-28 May, 2014. They are organized in four coherent sections: 1)
new developments in genomics and brain imaging, 2) new and
alternative methods for multi-table and path analysis, 3) advances
in partial least square regression (PLSR), and 4) partial least
square path modeling (PLS-PM) breakthroughs and applications. PLS
methods are very versatile methods that are now used in areas as
diverse as engineering, life science, sociology, psychology, brain
imaging, genomics, and business among both academics and
practitioners. The selected chapters here highlight this diversity
with applied examples as well as the most recent advances.
New Perspectives in Partial Least Squares and Related Methods
shares original, peer-reviewed research from presentations during
the 2012 partial least squares methods meeting (PLS 2012). This was
the 7th meeting in the series of PLS conferences and the first to
take place in the USA. PLS is an abbreviation for Partial Least
Squares and is also sometimes expanded as projection to latent
structures. This is an approach for modeling relations between data
matrices of different types of variables measured on the same set
of objects. The twenty-two papers in this volume, which include
three invited contributions from our keynote speakers, provide a
comprehensive overview of the current state of the most advanced
research related to PLS and related methods. Prominent scientists
from around the world took part in PLS 2012 and their contributions
covered the multiple dimensions of the partial least squares-based
methods. These exciting theoretical developments ranged from
partial least squares regression and correlation, component based
path modeling to regularized regression and subspace visualization.
In following the tradition of the six previous PLS meetings, these
contributions also included a large variety of PLS approaches such
as PLS metamodels, variable selection, sparse PLS regression,
distance based PLS, significance vs. reliability, and non-linear
PLS. Finally, these contributions applied PLS methods to data
originating from the traditional econometric/economic data to
genomics data, brain images, information systems, epidemiology, and
chemical spectroscopy. Such a broad and comprehensive volume will
also encourage new uses of PLS models in work by researchers and
students in many fields.
New Perspectives in Partial Least Squares and Related Methods
shares original, peer-reviewed research from presentations during
the 2012 partial least squares methods meeting (PLS 2012). This was
the 7th meeting in the series of PLS conferences and the first to
take place in the USA. PLS is an abbreviation for Partial Least
Squares and is also sometimes expanded as projection to latent
structures. This is an approach for modeling relations between data
matrices of different types of variables measured on the same set
of objects. The twenty-two papers in this volume, which include
three invited contributions from our keynote speakers, provide a
comprehensive overview of the current state of the most advanced
research related to PLS and related methods. Prominent scientists
from around the world took part in PLS 2012 and their contributions
covered the multiple dimensions of the partial least squares-based
methods. These exciting theoretical developments ranged from
partial least squares regression and correlation, component based
path modeling to regularized regression and subspace visualization.
In following the tradition of the six previous PLS meetings, these
contributions also included a large variety of PLS approaches such
as PLS metamodels, variable selection, sparse PLS regression,
distance based PLS, significance vs. reliability, and non-linear
PLS. Finally, these contributions applied PLS methods to data
originating from the traditional econometric/economic data to
genomics data, brain images, information systems, epidemiology, and
chemical spectroscopy. Such a broad and comprehensive volume will
also encourage new uses of PLS models in work by researchers and
students in many fields.
This handbook provides a comprehensive overview of Partial Least
Squares (PLS) methods with specific reference to their use in
marketing and with a discussion of the directions of current
research and perspectives. It covers the broad area of PLS methods,
from regression to structural equation modeling applications,
software and interpretation of results. The handbook serves both as
an introduction for those without prior knowledge of PLS and as a
comprehensive reference for researchers and practitioners
interested in the most recent advances in PLS methodology.
In the last decades, the production of goods and the offer of
services have become quite complex activities mostly because of the
markets globalisation, of the continuous push to the innovation and
of the constant requests from more and more demanding markets. The
main objective of a company system has become the achievement of
the quality for the business management cycle. This cycle goes from
the design (Plan) to the production (Do), from the control (Check)
to the man agement (Action), as well as to the marketing and
distribution. Nowadays, the Total Quality of the company system is
evaluated, according to the ISO 9000 regulations, in terms of its
capacity to adjust the design and the pro duction to the needs
expressed (explicitly or implictly) by the final users of a
product/service. In this process, the use of statistical techniques
is essential not only in the classical approach of Quality Control
of a product but also, and most importantly, in the Quality Design
oriented to the satisfaction of customers. Thus, Total Quality
refers to the global capacity of a company to fit its system to the
real needs of its customers by designing products which are able to
match the customers' taste and by implementing a statistical
control of both the product and the Customer Satisfaction. In such
a process of design and evaluation, several statistical variables
are involved and with a different nature (numerical, categorical,
ordinal)."
This handbook provides a comprehensive overview of Partial Least
Squares (PLS) methods with specific reference to their use in
marketing and with a discussion of the directions of current
research and perspectives. It covers the broad area of PLS methods,
from regression to structural equation modeling applications,
software and interpretation of results. The handbook serves both as
an introduction for those without prior knowledge of PLS and as a
comprehensive reference for researchers and practitioners
interested in the most recent advances in PLS methodology.
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The Multiple Facets of Partial Least Squares and Related Methods - PLS, Paris, France, 2014 (Hardcover, 1st ed. 2016)
Herve Abdi, Vincenzo Esposito Vinzi, Giorgio Russolillo, Gilbert Saporta, Laura Trinchera
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Discovery Miles 16 080
Save R1,095 (41%)
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This volume presents state of the art theories, new developments,
and important applications of Partial Least Square (PLS) methods.
The text begins with the invited communications of current leaders
in the field who cover the history of PLS, an overview of
methodological issues, and recent advances in regression and
multi-block approaches. The rest of the volume comprises selected,
reviewed contributions from the 8th International Conference on
Partial Least Squares and Related Methods held in Paris, France, on
26-28 May, 2014. They are organized in four coherent sections: 1)
new developments in genomics and brain imaging, 2) new and
alternative methods for multi-table and path analysis, 3) advances
in partial least square regression (PLSR), and 4) partial least
square path modeling (PLS-PM) breakthroughs and applications. PLS
methods are very versatile methods that are now used in areas as
diverse as engineering, life science, sociology, psychology, brain
imaging, genomics, and business among both academics and
practitioners. The selected chapters here highlight this diversity
with applied examples as well as the most recent advances.
|
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