Name: Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data (Springerbriefs in Statistics) (en Inglés)
SKU: 50882478
Price: 1122.39 MXN
Availability: InStock
Author: Rosa Arboretti; Arne Bathke; Stefano Bonnini
ISBN: 9783319917399

portada Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data (Springerbriefs in Statistics) (en Inglés)

Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data (Springerbriefs in Statistics) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Rosa Arboretti; Arne Bathke; Stefano Bonnini

Año

2018

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

ISBN13

9783319917399

N° edición

Categorías

Software de matemáticas y estadísticas

Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data (Springerbriefs in Statistics) (en Inglés)

Rosa Arboretti; Arne Bathke; Stefano Bonnini (Autor) · Springer · Tapa Blanda

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Reseña del libro "Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data (Springerbriefs in Statistics) (en Inglés)"

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.