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Theory of the combination of observations least subject to errors
Authors: ---
ISBN: 0898713471 Year: 1995 Volume: 11 Publisher: Philadelphia, Pa Society for Industrial and Applied Mathematics


Book
Applying partial least squares in tourism and hospitality research
Authors: --- ---
ISBN: 178756701X 1787566994 9781787567016 9781787566996 1787567001 1787567028 Year: 2019 Publisher: Bingley, UK Emerald Publishing Limited

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Ten chapters discuss key aspects of advanced PLS analysis and its practical applications, covering new guidelines and improvements in the use of PLS-PM as well as various individual topics.

Recent advances in total least squares techniques and errors-in-variables modeling
Authors: ---
ISBN: 0898713935 Year: 1997 Publisher: Philadelphia (Pa.) SIAM,


Book
Least Squares Data Fitting with Applications
Authors: --- --- ---
ISBN: 1421408589 Year: 2013 Publisher: Baltimore, Md. : Johns Hopkins University Press,


Book
Statistical learning with sparsity : the lasso and generalizations
Authors: --- ---
ISSN: 09606696 ISBN: 9781498712163 1498712169 Year: 2015 Volume: 143 Publisher: Boca Raton, Fla CRC Press, Taylor & Francis Group

The total least squares problem: computational aspects and analysis
Authors: ---
ISBN: 0898712750 Year: 1991 Volume: 9 Publisher: Philadelphia, Pa Society for Industrial and Applied Mathematics

Numerical methods for least squares problems
Author:
ISBN: 0898713609 Year: 1996 Publisher: Philadelphia, Pa SIAM

Total least squares and errors-in-variables modeling : analysis, algorithms and applications.
Authors: --- ---
ISBN: 1402004761 9048159571 9401735522 Year: 2002 Publisher: Dordrecht Kluwer Academic,

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In response to a growing interest in Total Least Squares (TLS) and Errors-In-Variables (EIV) modeling by researchers and practitioners, well-known experts from several disciplines were invited to prepare an overview paper and present it at the third international workshop on TLS and EIV modeling held in Leuven, Belgium, August 27-29, 2001. These invited papers, representing two-thirds of the book, together with a selection of other presented contributions yield a complete overview of the main scientific achievements since 1996 in TLS and Errors-In-Variables modeling. In this way, the book nicely completes two earlier books on TLS (SIAM 1991 and 1997). Not only computational issues, but also statistical, numerical, algebraic properties are described, as well as many new generalizations and applications. Being aware of the growing interest in these techniques, it is a strong belief that this book will aid and stimulate users to apply the new techniques and models correctly to their own practical problems.


Book
New Perspectives in Partial Least Squares and Related Methods
Authors: --- --- --- ---
ISBN: 1461482828 1461482836 Year: 2013 Publisher: New York, NY : Springer New York : Imprint: Springer,

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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.

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