| Dewey Class |
519.5 |
| Title |
Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data ([EBook]) / by Rosa Arboretti, Arne Bathke, Stefano Bonnini, Paolo Bordignon, Eleonora Carrozzo, Livio Corain, Luigi Salmaso. |
| Author |
Arboretti, Rosa |
| Added Personal Name |
Bathke, Arne author. |
| Bonnini, Stefano author. |
| Bordignon, Paolo author. |
| Carrozzo, Eleonora author. |
| Corain, Livio author. |
| Salmaso, Luigi author. |
| Other name(s) |
SpringerLink (Online service) |
| Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2018. |
| Physical Details |
X, 84 p. 17 illus., 12 illus. in color. : online resource. |
| Series |
SpringerBriefs in Statistics 2191-544X |
| ISBN |
9783319917405 |
| Summary Note |
This book deals with problems related to the evaluation of customer satisfaction in very different contexts and ways. Often satisfaction about a product or service is investigated through suitable surveys which try to capture the satisfaction about several partial aspects which characterize the perceived quality of that product or service. This book presents a series of statistical techniques adopted to analyze data from real situations where customer satisfaction surveys were performed. The aim is to give a simple guide of the variety of analysis that can be performed when analyzing data from sample surveys: starting from latent variable models to heterogeneity in satisfaction and also introducing some testing methods for comparing different customers. The book also discusses the construction of composite indicators including different benchmarks of satisfaction. Finally, some rank-based procedures for analyzing survey data are also shown.: |
| Contents note |
Chapter 1. The CUB models -- Chapter 2. Customer satisfaction heterogeneity -- Chapter 3. Ranking multivariate populations -- Chapter 4. Composite indicators and satisfaction profiles -- Chapter 5. Analyzing Survey Data Using Multivariate Rank-Based Inference. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users) |
| Internet Site |
http://dx.doi.org/10.1007/978-3-319-91740-5 |
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