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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 PLSPM 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  Ebooks  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 ErrorsInVariables (EIV) modeling by researchers and practitioners, wellknown 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 2729, 2001. These invited papers, representing twothirds 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 ErrorsInVariables 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, peerreviewed 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 twentytwo 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 squaresbased 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 nonlinear 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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