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Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method's flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software's SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the "how-tos" of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM
Finance --- Least squares. --- R (Computer program language) --- Structural equation modeling. --- Mathematical models. --- Open Access --- PLS-SEM) Using R --- Workbook --- Partial Least Squares Structural Equation Modeling --- R Software Environment
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Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method's flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software's SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the "how-tos" of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM
Finance --- Least squares. --- R (Computer program language) --- Structural equation modeling. --- Mathematical models. --- Open Access --- PLS-SEM) Using R --- Workbook --- Partial Least Squares Structural Equation Modeling --- R Software Environment
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Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method's flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software's SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the "how-tos" of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM
Finance --- Least squares. --- R (Computer program language) --- Structural equation modeling. --- Open Access --- PLS-SEM) Using R --- Workbook --- Partial Least Squares Structural Equation Modeling --- R Software Environment --- Mathematical models.
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Graphic methods --- Visual communication --- Graphics --- Graphs --- Geometrical drawing --- Least squares --- Mathematics --- Mechanical drawing
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This new, thoroughly revised and expanded 3rd edition of a classic gives a comprehensive coverage of modern probability in a single book. It is a truly modern text, providing not only classical results but also material that will be important for future research. Much has been added to the previous edition, including eight entirely new chapters on subjects like random measures, Malliavin calculus, multivariate arrays, and stochastic differential geometry. Apart from important improvements and revisions, some of the earlier chapters have been entirely rewritten. To help the reader, the material has been grouped together into ten major areas, each arguably indispensable to any serious graduate student and researcher, regardless of their specialization. Each chapter is largely self-contained and includes plenty of exercises, making the book ideal for self-study and for designing graduate-level courses and seminars in different areas and at different levels. Extensive notes and a detailed bibliography make it easy to go beyond the presented material if desired. From the reviews of the first edition: “…readers are likely to regard the book as an ideal reference. Indeed the monograph has the potential to become a (possibly even “the”) major reference book on large parts of probability theory for the next decade or more.” M. Scheutzow, zbMATH “…great edifice of material, clearly and ingeniously presented, without any non-mathematical distractions. Readers … are in very capable hands.” F. B. Knight, Mathemtical Reviews “… this is precisely what Professor Kallenberg has attempted … and he has accomplished it brilliantly... It is astonishing that a single volume of just over five hundred pages could contain so much material presented with complete rigor and still be at least formally self-contained..." R.K. Getoor, Metrika From the reviews of the second edition: “This … edition presents … more material in the concise and elegant style of the former edition which by now has become a highly praised standard reference book for many areas of probability theory.” M. Reiß, zbMATH “… the … monograph is a modern classic in probability theory… …every … expert in one of the various topics covered by this monograph will reconsider his own point of view and gain deeper insight into his subject.” Klaus D. Schmidt, Mathematical Reviews .
Probabilities. --- Probability Theory and Stochastic Processes. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Probability Theory.
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Un artiste examine la pléthore de places d’Europe, d’Europa Places, de Places de l’Europe et d’Europaplatzes et ce qu’ils nous disent de l’idéalité de « l’Europe ». Si l’environnement bâti est un enregistrement de nos modes d’organisation et des compromis que nous faisons pour vivre ensemble, alors que devons-nous faire de la pléthore de places d’Europe, d’Europa Places, de Places de l’Europe et d’Europaplatzes ? Les espaces publics qui relient de nombreuses villes disparates à travers un « supersite » appelé Europe, ils peuvent apparaître comme des avatars d’une idée en crise, comme les « valeurs eurocentriques » et le concept de l’Europe en tant qu’espace politique unifié sont attaqués et érodés de toutes parts. Atlas Europe Square documente un corpus d’œuvres de l’artiste suisse Yves Mettler qui, depuis 2003, s’est engagé dans une cartographie et une documentation continues de ces sites, ainsi qu’une série de projets triangulant entre des places particulières, interrogeant leurs différentes fonctions architecturales, environnementales et publiques, et ce qu’ils nous disent sur l’idéalité de « l’Europe » et la (im)possibilité de son instanciation concrète.Ici, ce travail s’étend à des réflexions sur la relation entre l’art et l’espace public, la spécificité du site et l’implication de l’artiste dans l’imaginaire de l’Europe alors qu’il s’empêtre dans un réseau de projets, de fonds et d’organismes publics qui cherchent à promouvoir la culture européenne à travers l’art. contient des textes de l’artiste aux côtés d’essais de Reza Negarestani, Teresa Pullano, Laurent Thévenot et Stephen Zepke, discutant du travail de Mettler.
Plazas --- City blocks --- kunst --- 77.071 METTLER --- 7.071 METTLER --- Europakruispunt --- Europaplein --- kunst en politiek --- architectuur --- stedenbouw --- Mettler Yves --- documentaire fotografie --- fotografie --- Europa --- Zwitserland --- kunst en openbare ruimte --- eenentwintigste eeuw --- Blocks (City planning) --- Blocks, City --- City squares --- Squares, City --- Cities and towns --- Piazzas --- Piazze --- Public squares --- Quadrangles (Plazas) --- Quads (Plazas) --- Squares, Public --- Social aspects --- Places --- Aspect social --- Europe --- Espaces publics --- Place publique --- Espace public --- Analyse de l'urbanisme --- Mettler, Yves --- Blocks, Urban --- Urban blocks --- City planning
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Probabilities. --- Risk assessment. --- Reliability (Engineering) --- Mathematical models. --- Analysis, Risk --- Assessment, Risk --- Risk analysis --- Risk evaluation --- Evaluation --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk
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This book pulls together many perspectives on the theory, methods and practice of drawing judgments from panels of experts in assessing risks and making decisions in complex circumstances. The book is divided into four parts: Structured Expert Judgment (SEJ) current research fronts; the contributions of Roger Cooke and the Classical Model he developed; process, procedures and education; and applications.
Decision making --- Risk assessment --- Mathematical models. --- Probability. --- Uncertainty (Information theory). --- Measure of uncertainty (Information theory) --- Shannon's measure of uncertainty --- System uncertainty --- Information measurement --- Probabilities --- Questions and answers --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk
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Multivariate analysis. --- Estimation theory. --- Python (Computer program language) --- Scripting languages (Computer science) --- Estimating techniques --- Least squares --- Mathematical statistics --- Stochastic processes --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices
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Signal processing --- Estimation theory. --- Digital techniques. --- MATLAB. --- Estimating techniques --- Least squares --- Mathematical statistics --- Stochastic processes --- Digital signal processing --- Digital communications --- Digital electronics --- MATLAB (Computer program) --- MATLAB (Computer file) --- Matrix laboratory
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