Vai al contenuto principale della pagina

Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data [[electronic resource] /] / by Rosa Arboretti, Arne Bathke, Stefano Bonnini, Paolo Bordignon, Eleonora Carrozzo, Livio Corain, Luigi Salmaso



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Arboretti Rosa Visualizza persona
Titolo: Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data [[electronic resource] /] / by Rosa Arboretti, Arne Bathke, Stefano Bonnini, Paolo Bordignon, Eleonora Carrozzo, Livio Corain, Luigi Salmaso Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (90 pages)
Disciplina: 382.072
Soggetto topico: Statistics 
Mathematical statistics
Computer mathematics
Statistical Theory and Methods
Probability and Statistics in Computer Science
Computational Mathematics and Numerical Analysis
Persona (resp. second.): BathkeArne
BonniniStefano
BordignonPaolo
CarrozzoEleonora
CorainLivio
SalmasoLuigi
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data  Visualizza cluster
ISBN: 3-319-91740-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910300120603321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: SpringerBriefs in Statistics, . 2191-544X