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Parametric and nonparametric statist...

Arboretti, Rosa.

Parametric and nonparametric statistics for sample surveys and customer satisfaction data

Record Type:	Electronic resources : Monograph/item
Title/Author:	Parametric and nonparametric statistics for sample surveys and customer satisfaction databy Rosa Arboretti ... [et al.].
other author:	Arboretti, Rosa.
Published:	Cham :Springer International Publishing :2018.
Description:	x, 84 p. :digital ;24 cm.
Contained By:	Springer eBooks
Subject:	ConsumersCross-cultural studies.
Online resource:	http://dx.doi.org/10.1007/978-3-319-91740-5
ISBN:	9783319917405$q(electronic bk.)

Parametric and nonparametric statistics for sample surveys and customer satisfaction data
Parametric and nonparametric statistics for sample surveys and customer satisfaction data[electronic resource] /by Rosa Arboretti ... [et al.]. - Cham :Springer International Publishing :2018. - x, 84 p. :digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..

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.

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.

ISBN: 9783319917405$q(electronic bk.)

Standard No.: 10.1007/978-3-319-91740-5doiSubjects--Topical Terms:

687125
Consumers
--Cross-cultural studies.

LC Class. No.: HF5415.32

Dewey Class. No.: 658.83420727

Parametric and nonparametric statistics for sample surveys and customer satisfaction data
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245 0 0 $a Parametric and nonparametric statistics for sample surveys and customer satisfaction data $h [electronic resource] / $c by Rosa Arboretti ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a x, 84 p. : $b digital ; $c 24 cm.
490 1 $a SpringerBriefs in statistics, $x 2191-544X
505 0 $a 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.
520 $a 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.
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650 0 $a Consumer satisfaction. $3 220965
650 1 4 $a Statistics. $3 182057
650 2 4 $a Statistical Theory and Methods. $3 274054
650 2 4 $a Probability and Statistics in Computer Science. $3 274053
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 274020
700 1 $a Arboretti, Rosa. $3 522743
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-91740-5
950 $a Mathematics and Statistics (Springer-11649)