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#SBIB:011.GIFT --- #SBIB:309H2812 --- Marketing, consumentengedrag, consumentisme --- Marketing research. --- Marketing research --- Market research --- Marketing --- Markets --- Research --- Research, Industrial
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"We developed this new book with enthusiasm and great optimism. Marketing analytics is an exciting field to study, and there are numerous emerging opportunities for students at the undergraduate level, and particularly at the master's level. We live in a global, highly competitive, rapidly changing world that is increasingly influenced by digital data, expanded analytical capabilities, information technology, social media, artificial intelligence, and many other recent developments. We believe this book will become the premier source for new and essential knowledge in data analytics, particularly for situations related to marketing decision making that can benefit from marketing analytics, which is likely 80 percent of all challenges faced by organizations".
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Now in its second edition, this edited book presents recent progress and techniques in partial least squares path modeling (PLS-PM), and provides a comprehensive overview of the current state-of-the-art in PLS-PM research. Like the previous edition, the book is divided into three parts: the first part emphasizes the basic concepts and extensions of the PLS-PM method; the second part discusses the methodological issues that have been the focus of recent developments, and the last part deals with real-world applications of the PLS-PM method in various disciplines. This new edition broadens the scope of the first edition and consists of entirely new original contributions, again written by expert authors in the field, on a wide range of topics, including: how to perform quantile composite path modeling with R; the rationale and justification for using PLS-PM in top-tier journals; psychometric properties of three weighting schemes and why PLS-PM is a better fit to mode B; a comprehensive review of PLS software; how to perform out-of-sample predictions with ordinal consistent partial least squares; multicollinearity issues in PLS-PM using ridge regression; theorizing and testing specific indirect effects in PLS and considering their effect size; how to run hierarchical models and available approaches; and how to apply necessary condition analysis (NCA) in PLS-PM. This book will appeal to researchers interested in the latest advances in PLS-PM as well as masters and Ph.D. students in a variety of disciplines who use PLS-PM methods. With clear guidelines on selecting and using PLS-PM, especially those related to composite models, readers will be brought up to date on recent debates in the field.
Statistics. --- Statistics --- Social sciences --- Econometrics. --- Multivariate analysis. --- Statistical Theory and Methods. --- Statistics in Business, Management, Economics, Finance, Insurance. --- Statistical Software. --- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. --- Multivariate Analysis. --- Computer programs. --- Statistical methods.
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Mathematical statistics --- Multivariate analysis --- 681.3*G3 --- Informatica 681.3 --- Statistische gegevens 31 --- Statistische analyse 519.23 --- 519.2 --- AA / International- internationaal --- 304.6 --- 519.535 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Wiskundige statistiek --- Variantie-analyse, tests. --- Methoden en technieken --- speciale methoden --- Multivariate analysis. --- speciale methoden. --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Speciale methoden. --- Variantie-analyse, tests --- 519.237 --- #SBIB:303H520 --- 519.237 Multivariate statistical methods --- Multivariate statistical methods --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Analyse multivariée
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“For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today’s world of analytics. Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.” [Publisher]
Mathematical statistics --- Multivariate analysis. --- Analyse multivariée
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