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Partial-least-squares path modeling (PLS-PM), a composite-based form of structural equation modeling (SEM), offers great practical advantages to researchers and practitioners. It has been gaining increasing attention in various disciplines, including management information systems, marketing, strategic management, accounting, family business research, operations management, and organizational research. Yet advanced PLS-SEM techniques are not broadly used in hospitality and tourism research, which spells missed opportunities in terms of detailed analyses and actionable findings. 'Applying Partial Least Squares in Tourism and Hospitality Research' provides a forum for leading names in the field to discuss the major topical issues and to demonstrate the usefulness of PLS path modeling for academics and practitioners in hospitality and tourism. Its 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 individual topics such as multi-group analysis (PLS-MGA), the predictive qualities of PLS models, minimum sample size estimation methods, the reporting of mediation and moderation analysis, the assessment of the reliability of reflectively measured constructs, and the assessment of overall model fit through consistent PLS and the bootstrap-based test. This comprehensive coverage serves both as an introduction to PLS for the uninitiated and as a go-to reference work for researchers and practitioners interested in the most recent advances in PLS methodology. 'Applying Partial Least Squares in Tourism and Hospitality Research' is a must-read for academics in hospitality and tourism research and for hospitality and tourism practitioners such as industry consultants. Insofar as it can serve as a guidebook to recent advances within PLS-SEM, it is also of interest to researchers from other disciplines including management, business, and marketing.
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 --- Tourism --- Hospitality --- Business & Economics --- Industry & industrial studies. --- Mathematical models. --- General. --- Guests, Hospitality for --- House guests, Hospitality for --- Houseguests, Hospitality for --- Entertaining --- Etiquette --- Holiday industry --- Operators, Tour (Industry) --- Tour operators (Industry) --- Tourism industry --- Tourism operators (Industry) --- Tourist industry --- Tourist trade --- Tourist traffic --- Travel industry --- Visitor industry --- National tourism organizations --- Travel --- Economic aspects
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This_highly successful text focuses on exploring alternative techniques, combined with a practical emphasis, A guide to alternative techniques with the emphasis on the intuition behind the approaches and their practical reference, this new edition builds on the strengths of the second edition and brings the text completely up-to-date.
Econometrics --- Regression Analysis --- Econometrics. --- Regression analysis. --- Regression analysis --- 330.015195 --- 303.8 --- AA / International- internationaal --- 330.115 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Economics, Mathematical --- Statistics --- 330.115 Econometrie --- Econometrie --- Econometrische behandeling van een onderwerp --- Quantitative methods (economics) --- Econométrie --- Analyse de régression
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AA / International- internationaal --- 303.8 --- Econometrics --- Regression analysis --- 330.115 --- 330.015195 --- Analysis, Regression --- Linear regression --- Regression modeling --- 330.115 Econometrie --- Econometrie --- Econometrische behandeling van een onderwerp. --- Econometrics. --- Regression analysis. --- Multivariate analysis --- Structural equation modeling --- Economics, Mathematical --- Statistics --- Econometrische behandeling van een onderwerp --- Quantitative methods (economics) --- Regression Analysis --- Économétrie --- Analyse de régression --- Économétrie. --- Analyse de régression.
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A Guide to Modern Econometrics explores a wide range of topics in modern econometrics focusing on what is important for doing and understanding empirical work. It serves as a guide to alternative techniques with the emphasis on practical questions such as when to use a particular approach, what can be gained by its use and what are the drawbacks. It does not concentrate on the formulae behind the approaches and their practical relevance. A wide range of topics are covered, such as: time series analysis, cointegration, limited dependent variables, panel data analysis and the generalized method of moments Empirical examples are drawn from a wide variety of fields including labour economics, environmental economics, international economics, finance and macroeconomics End-of-chapter exercises review key concepts in the light of empirical examples Data sets for illustrations and exercises available on-line from a web site
Econometrics. --- Regression analysis. --- Econometrics --- Regression analysis --- 330.015195 --- Academic collection --- 000.1 --- 330.115 --- 303.8 --- AA / International- internationaal --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Economics, Mathematical --- Statistics --- 330.115 Econometrie --- Econometrie --- Algemene werken --- Kwantitatieve methoden (economie) --- Econometrische behandeling van een onderwerp --- Quantitative methods (economics) --- Regression Analysis --- Econométrie --- Analyse de régression
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The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak. In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jörn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science. An irreverent review of econometric essentials A focus on tools that applied researchers use most Chapters on regression-discontinuity designs, quantile regression, and standard errors Many empirical examples A clear and concise resource with wide applications
Econometrics. --- Regression analysis. --- AA / International- internationaal --- 303.8 --- Econometrics --- Regression analysis --- 330.115 --- 330.015195 --- Analysis, Regression --- Linear regression --- Regression modeling --- 330.115 Econometrie --- Econometrie --- Econometrische behandeling van een onderwerp. --- Multivariate analysis --- Structural equation modeling --- Economics, Mathematical --- Statistics --- Quantitative methods (economics) --- Regression Analysis --- Econometrische behandeling van een onderwerp --- Économétrie --- Analyse de régression
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Econometrics --- Regression analysis --- #SBIB:303H66 --- 303.8 --- AA / International- internationaal --- 330.115 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Economics, Mathematical --- Statistics --- 330.115 Econometrie --- Econometrie --- Econometrische behandeling van een onderwerp --- Quantitative methods (economics) --- Regression Analysis --- Econometrics. --- Regression analysis.
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The GVAR is a Global Vector Auto-Regression model of the global economy. Its main feature is to take into account the financial and real linkages connecting the major world economies. This book provides an overview of the GVAR and its applications forecasting, finance issues, and regional studies.
Economic policy --- Regression analysis --- Macroeconomics --- -Economic forecasting --- 338.9 --- Economics --- Forecasting --- Economic indicators --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Economic nationalism --- Economic planning --- National planning --- State planning --- Planning --- National security --- Social policy --- Mathematical models --- E-books --- Economic forecasting --- Economic policy. --- Regression analysis. --- Economic forecasting. --- Mathematical models.
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"This Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The coverage offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique"
Mathematical statistics --- Regression Analysis --- Mathematics --- Probability --- Statistics --- 306.4 --- 303.5 --- AA / International- internationaal --- Regression analysis. --- MATHEMATICS / Probability & Statistics / General. --- 519.2 --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Correlatie, regressie (toegepaste statistiek). --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek). --- Probability. Mathematical statistics --- 519.2 Probability. Mathematical statistics --- Regression analysis --- MATHEMATICS / Probability & Statistics / General --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- Correlatie, regressie (toegepaste statistiek)
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Quantitative methods (economics) --- Regression Analysis --- AA / International- internationaal --- 303.8 --- 303.5 --- 330.115 --- Regression analysis --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Econometrische behandeling van een onderwerp. --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek). --- Econometrie --- 330.115 Econometrie --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- Econometrische behandeling van een onderwerp
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Mathematical statistics --- Time-series analysis --- Regression analysis --- Série chronologique --- Analyse de régression --- Regression Analysis --- AA / International- internationaal --- 303.5 --- NBB ZZ --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek). --- Regression analysis. --- Time-series analysis. --- Série chronologique --- Analyse de régression --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Probabilities --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- STATISTIQUE --- ANALYSE CHRONOLOGIQUE
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