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Adaptive signal processing --- Laser communication systems --- Least squares --- Mathematics --- Mathematical models --- 519.654 --- -Laser communication systems --- -Least squares --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematical statistics --- Probabilities --- Triangulation --- Coherent light communication systems --- Communication systems, Optical (Laser-based) --- Light communication systems, Laser-based --- Optical communication systems, Laser-based --- Integrated optics --- Optical communications --- Telecommunication systems --- Signal processing, Adaptive --- Signal processing --- Least squares method --- 519.654 Least squares method --- Adaptive signal processing - Mathematics --- Laser communication systems - Mathematical models
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519.87 --- Econometric models --- Least squares --- Linear models (Statistics) --- Time-series analysis --- -Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Models, Linear (Statistics) --- Mathematical models --- Statistics --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Triangulation --- Econometrics --- Mathematical models for operational research --- Theses --- Econometric models. --- Least squares. --- Mathematical models. --- -Mathematical models for operational research --- 519.87 Mathematical models for operational research --- Linear models (Statistics). --- -Models, Linear (Statistics) --- Analysis of time series
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The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves. The purpose of Data Analysis Using the Methods of Least Squares is to fill this gap and include the type of information required to help scientists and engineers apply the method to problems in their special fields of interest. In addition, graduate students in science and engineering doing work of experimental nature can benefit from this book. Particularly, both linear and non-linear least squares, the use of experimental error estimates for data weighting, procedures to include prior estimates, methodology for selecting and testing models, prediction analysis, and some non-parametric methods are discussed.
Statistics. --- Physical measurements. --- Measurement. --- Computational intelligence. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Computational Intelligence. --- Measurement Science and Instrumentation. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Measuring --- Mensuration --- Mathematics --- Technology --- Metrology --- Physical measurements --- Measurements, Physical --- Mathematical physics --- Measurement --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Least squares. --- Engineering mathematics. --- Engineering --- Experiments. --- Engineering analysis --- Mathematical analysis --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematical statistics --- Probabilities --- Triangulation --- Engineering. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Construction --- Industrial arts --- Statistics . --- Measurement .
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The "Handbook of Partial Least Squares (PLS) and Marketing: Concepts, Methods and Applications" is the second volume in the series of the Handbooks of Computational Statistics. This Handbook represents a comprehensive overview of PLS methods with specific reference to their use in Marketing and with a discussion of the directions of current research and perspectives. The Handbook covers the broad area of PLS Methods from Regression to Structural Equation Modeling, from methods to applications, from software to interpretation of results. The Handbook features papers on the use and the analysis of latent variables and indicators by means of the PLS Path Modeling approach from the design of the causal network to the model assessment and improvement. Moreover, within the PLS framework, the Handbook addresses, among others, special and advanced topics such as the analysis of multi-block, multi-group and multi-structured data, the use of categorical indicators, the study of interaction effects, the integration of classification issues, the validation aspects and the comparison between the component-based PLS approach and the covariance-based Structural Equation Modeling. Most chapters comprise a thorough discussion of applications to problems from Marketing and related areas. Furthermore, a few tutorials focus on some key aspects of PLS analysis with a didactic approach. This Handbook serves as both an introduction for those without prior knowledge of PLS as well as a comprehensive reference for researchers and practitioners interested in the most recent advances in PLS methodology.
Quantitative methods in social research --- Mathematical statistics --- Least squares --- Regression analysis --- Structural equation modeling --- Path analysis (Statistics) --- Latent variables --- Marketing --- Moindres carrés --- Analyse de régression --- Variables latentes --- Data processing --- Statistical methods --- Informatique --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- 519.2 --- SEM (Structural equation modeling) --- Multivariate analysis --- Factor analysis --- Analysis, Path (Statistics) --- Path analysis --- Consumer goods --- Domestic marketing --- Retail marketing --- Retail trade --- Industrial management --- Aftermarkets --- Selling --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Constructs, Hypothetical --- Hypothetical constructs --- Variables, Latent --- Latent structure analysis --- Variables (Mathematics) --- 519.2 Probability. Mathematical statistics --- Probability. Mathematical statistics
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Numerical approximation theory --- Mathematical statistics --- Least squares --- Moindres carrés --- Data processing --- Informatique --- data processing --- -#TWER:MOD --- 519.6 --- 681.3*G13 --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Moindres carrés --- #TWER:MOD --- Itération (mathématiques) --- Analyse numérique. --- Numerical analysis --- Iterative methods (Mathematics) --- Algèbre linéaire. --- Algebras, Linear --- Least squares - data processing
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Quantitative methods in social research --- Mathematical statistics --- Estimation theory --- Least squares --- Social sciences --- Statistical methods --- -519.2 --- 681.3*G16 --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Estimating techniques --- Stochastic processes --- Probability. Mathematical statistics --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Estimation theory. --- Least squares. --- Statistical methods. --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- 519.2 Probability. Mathematical statistics --- 519.2 --- Social sciences - Statistical methods
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Numerical approximation theory --- Mathematical statistics --- Least squares --- Data processing --- Methode der kleinsten Quadrate --- #TELE:SISTA --- 519.6 --- 681.3*G13 --- Computational mathematics. Numerical analysis. Computer programming --- Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- Data processing. --- 681.3*G13 Numerical linear algebra: conditioning; determinants; Eigenvalues; error analysis; linear systems; matrix inversion; pseudoinverses; sparse and very largesystems --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematics --- Probabilities --- Triangulation --- Acqui 2006
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Inverse problems (Differential equations) --- Inversieproblemen (Differentiaalvergelijkingen) --- Least squares --- Problèmes inverses (Equations différentielles) --- 504.064 --- 519.87 --- 502.55 --- 519.613 --- Water --- -Least squares --- Differential equations --- Method of least squares --- Squares, Least --- Curve fitting --- Geodesy --- Mathematical statistics --- Mathematics --- Probabilities --- Triangulation --- Hydrology --- Surveillance and management of environmental quality. Pollution control. Life cycle analysis (LCA) --- Mathematical models for operational research --- Pollution, contamination danger. Protection against pollution --- Numerical methods for matrix inversion --- Pollution --- -Mathematical models --- 519.613 Numerical methods for matrix inversion --- 502.55 Pollution, contamination danger. Protection against pollution --- 519.87 Mathematical models for operational research --- 504.064 Surveillance and management of environmental quality. Pollution control. Life cycle analysis (LCA) --- Pollution&delete& --- Mathematical models
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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) --- Algebra. --- Matrix theory. --- Statistics . --- Applied mathematics. --- Engineering mathematics. --- Numerical analysis. --- Algorithms. --- Linear and Multilinear Algebras, Matrix Theory. --- Statistics, general. --- Applications of Mathematics. --- Numeric Computing. --- Algorism --- Algebra --- Arithmetic --- Mathematical analysis --- Engineering --- Engineering analysis --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Foundations
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This book gives a comprehensive introduction to the Helmholtz Equation Least Squares (HELS) method and its use in diagnosing noise and vibration problems. In contrast to the traditional NAH technologies, the HELS method does not seek an exact solution to the acoustic field produced by an arbitrarily shaped structure. Rather, it attempts to obtain the best approximation of an acoustic field through the expansion of certain basis functions. Therefore, it significantly simplifies the complexities of the reconstruction process, yet still enables one to acquire an understanding of the root causes of different noise and vibration problems that involve arbitrarily shaped surfaces in non-free space using far fewer measurement points than either Fourier acoustics or BEM based NAH. The examples given in this book illustrate that the HELS method may potentially become a practical and versatile tool for engineers to tackle a variety of complex noise and vibration issues in engineering applications.
Engineering. --- Engineering Acoustics. --- Acoustics. --- Vibration, Dynamical Systems, Control. --- Mathematical Modeling and Industrial Mathematics. --- Vibration. --- Acoustics in engineering. --- Ingénierie --- Acoustique --- Vibration --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Sound-waves. --- Sound --- Radiation sources. --- Least squares. --- Helmholtz equation --- Transmission. --- Numerical solutions. --- Method of least squares --- Squares, Least --- Sources of radiation --- Transmission of sound --- Mathematical models. --- Dynamical systems. --- Dynamics. --- Acoustical engineering. --- Numerical analysis --- Curve fitting --- Geodesy --- Mathematical statistics --- Mathematics --- Probabilities --- Triangulation --- Quantum optics --- Radiation --- Architectural acoustics --- Sound-waves --- Soundproofing --- Waves --- Cycles --- Mechanics --- Acoustic engineering --- Sonic engineering --- Sonics --- Sound engineering --- Engineering --- Models, Mathematical --- Simulation methods --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Industrial applications