Parametric and nonparametric statistics for sample surveys and customer satisfaction data /

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Bibliographic Details
Author / Creator:Arboretti, Rosa, author.
Imprint:Cham, Switzerland : Springer, [2018]
©2018
Description:1 online resource
Language:English
Series:SpringerBriefs in statistics
SpringerBriefs in statistics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11664336
Hidden Bibliographic Details
Other authors / contributors:Bathke, Arne, author.
Bonnini, Stefano, author.
Bordignon, Paolo, author.
Carrozzo, Eleonora, author.
Corain, Livio, author.
Salmaso, Luigi, author.
ISBN:9783319917405
3319917404
3319917390
9783319917399
9783319917399
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (EBSCO, viewed June 25, 2018).
Summary:"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."--
Other form:Printed edition: 9783319917399
Standard no.:10.1007/978-3-319-91740-5