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| 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 |
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| 942 |
_2ddc _cBK |
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