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Marketing research - Statistical methods --- Statistics . --- Marketing research
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Marketing --- Marketing research --- Statistical methods --- Recherche --- Méthodes statistiques --- Méthodes statistiques --- Marketing - Statistical methods --- Marketing research - Statistical methods
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Planning (firm) --- Market research --- Marketing research --- Multivariate analysis --- Statistical methods --- Multivariate analysis. --- Statistical methods. --- Marketing research - Statistical methods
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Marketing research --- Marketing --- Statistical methods --- Recherche --- Méthodes statistiques --- 658.8 --- -#KVIV --- Market research --- Markets --- Research --- Research, Industrial --- Marketing. Sales. Selling. Distribution --- 658.8 Marketing. Sales. Selling. Distribution --- Méthodes statistiques --- #KVIV --- Marketing research - Statistical methods
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Information systems --- Market research --- Marketing research --- Statistical methods --- Data processing. --- 658.8 --- -Market research --- Marketing --- Markets --- Research --- Research, Industrial --- Marketing. Sales. Selling. Distribution --- -Data processing --- -Marketing. Sales. Selling. Distribution --- -658.8 Marketing. Sales. Selling. Distribution --- 658.8 Marketing. Sales. Selling. Distribution --- Statistical methods&delete& --- Data processing --- Marketing research - Statistical methods - Data processing.
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658.8 --- 659 --- 659 Publicity. Information work. Public relations --- Publicity. Information work. Public relations --- 658.8 Marketing. Sales. Selling. Distribution --- Marketing. Sales. Selling. Distribution --- Applied marketing --- Marketing research --- Scaling (Social sciences) --- Statistical methods --- Marketing research - Statistical methods - Handbooks, manuals, etc. --- Scaling (Social sciences) - Handbooks, manuals, etc.
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Planning (firm) --- Mathematical statistics --- Market research --- Marketing research --- Multidimensional scaling --- Statistical methods. --- Computer programs. --- Data processing. --- 519.237 --- 681.3*G3 --- Multivariate statistical methods --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- 519.237 Multivariate statistical methods --- Marketing research - Statistical methods. --- Multidimensional scaling - Computer programs. --- Marketing research - Data processing.
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Marketing --- Psychology --- Marketing research --- Scaling (Social sciences) --- Consumers' preferences --- Statistical methods --- 681.3*G3 --- -Scaling (Social sciences) --- Scale analysis (Social sciences) --- Scales of measurement --- Social sciences --- Market research --- Markets --- Research --- Research, Industrial --- Brand preferences --- Choice (Economic theory) --- Choice of product --- Preferences, Consumers' --- Product choice --- Consumer behavior --- Consumers --- Revealed preference theory --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Methodology --- Attitudes --- Consumers' preferences. --- Statistical methods. --- Scaling (Social sciences). --- 681.3*G3 Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing) --- Marketing research - Statistical methods
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This important new work provides a comprehensive discussion of the customer satisfaction evaluation problem by presenting an overview of the existing methodologies as well as the development and implementation of an original multicriteria method dubbed MUSA (MUlticriteria Satisfaction Analysis). The chief objective of MUSA is the development of a model able to evaluate the level of customer satisfaction both globally and partially for each of the characteristics or attributes of the product or service being considered. Furthermore, the method aims at providing an integrated set of results capable of analyzing customer needs and expectations and to justify their satisfaction level. And finally, the book examines the development of a decision support tool to help understand and apply results. Individual chapters consider the customer satisfaction problem, presenting the various quantitative and related consumer behavioral models; quality-based approaches; the MUSA method and its extensions and advanced topics; customer satisfaction surveys and barometers; applications of the MUSA method in real-world customer satisfaction surveys; and different information technology approaches related to customer satisfaction. Customer Satisfaction Evaluation: Methods for Measuring and Implementing Service Quality is intended for researchers and practitioners in marketing, quality management, service management, and anyone interested in applications of Multicriteria Decision Analysis (MCDA).
Consumer satisfaction -- Evaluation -- Data processing. --- Consumer satisfaction -- Evaluation -- Statistical methods. --- Marketing research -- Statistical methods. --- Commerce --- Management --- Marketing & Sales --- Management Theory --- Local Commerce --- Business & Economics --- Consumer satisfaction --- Marketing research --- Evaluation --- Statistical methods. --- Data processing. --- Customer satisfaction --- Business. --- Management science. --- Operations research. --- Decision making. --- Sales management. --- Business and Management. --- Sales/Distribution. --- Operation Research/Decision Theory. --- Operations Research, Management Science. --- Business and Management, general. --- Satisfaction --- Brand loyalty --- Customer loyalty --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Management, Sales --- Industrial management --- Marketing --- Selling --- Trade --- Economics --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making
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This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). The book is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. This is done by emphasizing practical issues (such as evaluating model fit), by presenting ways to enforce theoretical expectations on the MDS solution, and by discussing typical mistakes that MDS users tend to make. The primary audience of this book are psychologists, social scientists, and market researchers. No particular background knowledge is required, beyond a basic knowledge of statistics.
Consumers' preferences. --- Marketing research -- Statistical methods. --- Scale analysis (Psychology). --- Mathematics --- Social Sciences --- Physical Sciences & Mathematics --- Psychology --- Mathematical Statistics --- Multidimensional scaling. --- Scaling (Social sciences) --- Scale analysis (Social sciences) --- Scales of measurement --- Statistics. --- Mathematics. --- Visualization. --- Social sciences. --- Psychology. --- Statistics and Computing/Statistics Programs. --- Psychology, general. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Mathematics in the Humanities and Social Sciences. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Behavioral sciences --- Mental philosophy --- Mind --- Science, Mental --- Human biology --- Philosophy --- Soul --- Mental health --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Visualisation --- Imagery (Psychology) --- Imagination --- Visual perception --- Math --- Science --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Social sciences --- Psychometrics --- Methodology --- Mathematical statistics. --- Philosophy (General). --- Statistics for Social Sciences, Humanities, Law. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistics .
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