Modern analysis of customer surveys : with applications using R /

This book introduces customer satisfaction surveys, with focus on the classical problems of analysing them, which include; missing values, outliers, sampling techniques, integration of different data sources, as well as modern and non-standard tools. Each chapter describes, in detail, a different te...

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Detalhes bibliográficos
Outros Autores: Kenett, Ron (Editor), Salini, Silvia (Editor)
Formato: Livro
Idioma:English
Publicado em: Chichester : John Wiley & Sons, 2012.
Assuntos:
Classic Catalogue: View this record in Classic Catalogue
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245 0 0 |a Modern analysis of customer surveys :  |b with applications using R /  |c edited by Ron S. Kenett, Silvia Salini. 
260 |a Chichester :  |b John Wiley & Sons,  |c 2012. 
300 |a xxiv, 500 pages :  |b illustrations ;  |c 25 cm. 
505 0 |a Front Matter -- Basic aspects of Customer Satisfaction Survey Data Analysis. Standards and Classical Techniques in Data Analysis of Customer Satisfaction Surveys / Silvia Salini, Ron S Kenett -- The ABC Annual Customer Satisfaction Survey / Ron S Kenett, Silvia Salini -- Census and Sample Surveys / Giovanna Nicolini, Luciana Dalla Valle -- Measurement Scales / Andrea Bonanomi, Gabriele Cantaluppi -- Integrated Analysis / Silvia Biffignandi -- Web Surveys / Roberto Furlan, Diego Martone -- The Concept and Assessment of Customer Satisfaction / Irena Ograjen\208Dek, Iddo Gal -- Missing Data and Imputation Methods / Alessandra Mattei, Fabrizia Mealli, Donald B Rubin -- Outliers and Robustness for Ordinal Data / Marco Riani, Francesca Torti, Sergio Zani -- Modern Techniques in Customer Satisfaction Survey Data Analysis. Statistical Inference for Causal Effects / Fabrizia Mealli, Barbara Pacini, Donald B Rubin -- Bayesian Networks Applied to Customer Surveys / Ron S Kenett, Giovanni Perruca, Silvia Salini -- Log-Linear Model Methods / Stephen E Fienberg, Daniel Manrique-Vallier -- CUB Models: Statistical Methods and Empirical Evidence / Maria Iannario, Domenico Piccolo -- The Rasch Model / Francesca De Battisti, Giovanna Nicolini, Silvia Salini -- Tree-Based Methods and Decision Trees / Giuliano Galimberti, Gabriele Soffritti -- PLS Models / Giuseppe Boari, Gabriele Cantaluppi -- Nonlinear Principal Component Analysis / Pier Alda Ferrari, Alessandro Barbiero -- Multidimensional Scaling / Nadia Solaro -- Multilevel Models for Ordinal Data / Leonardo Grilli, Carla Rampichini -- Quality Standards and Control Charts Applied to Customer Surveys / Ron S Kenett, Laura Deldossi, Diego Zappa -- Fuzzy Methods and Satisfaction Indices / Sergio Zani, Maria Adele Milioli, Isabella Morlini -- Appendix: An Introduction to R -- Index. 
520 |a This book introduces customer satisfaction surveys, with focus on the classical problems of analysing them, which include; missing values, outliers, sampling techniques, integration of different data sources, as well as modern and non-standard tools. Each chapter describes, in detail, a different technique that is applied to the standard data set along with R scripts featuring on a supporting website. Most of the techniques featured in this book are applied to a standard set of data collected from 266 companies (customers) participating in the Annual Customer Satisfaction Survey (ACSS) of a global company. The data refers to a questionnaire consisting of 81 questions that covered a wide range of service and product perspectives. 
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650 0 |a Consumer satisfaction  |x Evaluation.  |9 21183 
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650 0 |a Sampling (Statistics)  |x Evaluation.  |9 21186 
650 0 |a Surveys  |x Statistical methods.  |9 21187 
650 0 |a Surveys  |x Data processing.  |9 21188 
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700 1 |a Salini, Silvia.  |4 edt  |9 21191 
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