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Mathematical statistics --- Least squares. --- Error analysis (Mathematics) --- Least squares --- #TELE:SISTA --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Errors, Theory of --- Instrumental variables (Statistics) --- Numerical analysis --- Statistics
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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.
Least squares. --- Structural equation modeling. --- SEM (Structural equation modeling) --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematical statistics --- Mathematics --- Probabilities --- Triangulation --- Hospitality industry --- Research --- E-books --- Service industries
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Error analysis (Mathematics) --- Least squares --- Academic collection --- #TELE:SISTA --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematical statistics --- Mathematics --- Probabilities --- Triangulation --- Errors, Theory of --- Instrumental variables (Statistics) --- Mathematical statistics --- Numerical analysis --- Statistics --- Congresses --- Congresses
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Modeles mathematiques. --- Moindres carres --- Statistik. --- Methode der kleinsten Quadrate. --- Mathematical models. --- Least squares --- Mathematical models. --- Least squares --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematical statistics --- Mathematics --- Probabilities --- Triangulation --- Models, Mathematical --- Simulation methods --- Informatique. --- Data processing. --- Data processing.
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Mathematical statistics --- Least squares --- Linear models (Statistics) --- Proof theory --- Mathematical statistics. --- Least squares. --- Proof theory. --- Logic, Symbolic and mathematical --- Models, Linear (Statistics) --- Mathematical models --- Statistics --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Statistical inference --- Statistics, Mathematical --- Sampling (Statistics) --- Statistical methods
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Mathematical statistics --- Échantillonnage --- Sampling --- 519.235 --- Least squares --- Regression analysis --- #TELE:SISTA --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Statistics of dependent variables. Contingency tables --- Least squares. --- Regression analysis. --- 519.235 Statistics of dependent variables. Contingency tables
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Operational research. Game theory --- Moindres carrés --- Least squares --- Academic collection --- #TELE:SISTA --- 519.6 --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematical statistics --- Mathematics --- Probabilities --- Triangulation --- Computational mathematics. Numerical analysis. Computer programming --- Least squares. --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Moindres carrés
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Numerical analysis --- Mathematical statistics --- Equations, Simultaneous --- Least squares --- Moindres carrés --- Numerical solutions --- Least squares. --- Numerical solutions. --- 519.65 --- -Least squares --- #TELE:SISTA --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Simultaneous equations --- Approximation. Interpolation --- 519.65 Approximation. Interpolation --- Moindres carrés --- Numerical calculations --- Calculs numériques
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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.
Least squares --- Error analysis (Mathematics) --- Academic collection --- 681.3*I54 --- Errors, Theory of --- Instrumental variables (Statistics) --- Mathematical statistics --- Numerical analysis --- Statistics --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition) --- Least squares. --- Error analysis (Mathematics). --- 681.3*I54 Applications: computer vision; signal processing; text processing; waveform analysis (Pattern recognition)
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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.
Commercial statistics. --- Economics -- Statistical methods. --- Social sciences -- Statistical methods. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Least squares. --- Mathematics. --- Math --- Method of least squares --- Squares, Least --- Statistics. --- Statistical Theory and Methods. --- Statistics, general. --- Science --- Curve fitting --- Geodesy --- Mathematical statistics --- Probabilities --- Triangulation --- Mathematical statistics. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Sampling (Statistics)
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