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082 0 4 _a658.8342855282
_223
245 0 0 _aModern analysis of customer surveys :
_bwith applications using R /
_cedited by Ron S. Kenett, Silvia Salini.
260 _aChichester :
_bJohn Wiley & Sons,
_c2012.
300 _axxiv, 500 pages :
_billustrations ;
_c25 cm.
505 0 _aFront 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 _aThis 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.
526 _aMNS
650 0 _aConsumer satisfaction
_xResearch
_xStatistical methods.
_921182
650 0 _aConsumer satisfaction
_xEvaluation.
_921183
650 0 _aConsumers
_xResearch
_xStatistical methods.
_921184
650 0 _aConsumers
_xResearch
_xData processing.
_921185
650 0 _aSampling (Statistics)
_xEvaluation.
_921186
650 0 _aSurveys
_xStatistical methods.
_921187
650 0 _aSurveys
_xData processing.
_921188
700 1 _aKenett, Ron.
_4edt
_921190
700 1 _aSalini, Silvia.
_4edt
_921191
852 _aAyesha Abed Library
_cGeneral Stacks
942 _2ddc
_cBK