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Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data

Part of the SpringerBriefs in Statistics Book Series

DOI: 10.1007/978-3-319-91740-5

ISBN: 978-3-319-91739-9

Publisher: Springer International Publishing - Springer Journals

Jun 19, 2018

Available

The CUB Models

Arboretti, Rosa; Bathke, Arne; Bonnini, Stefano; Bordignon, Paolo; Carrozzo, Eleonora; Corain, Livio; Salmaso, Luigi

Pages: 1 –17

[The CUB model [12], where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions assumes the involvement of two latent variables during an evaluation process, that have been called feeling and uncertainty. In order to justify the names for latent variables,...
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Customer Satisfaction Heterogeneity

Arboretti, Rosa; Bathke, Arne; Bonnini, Stefano; Bordignon, Paolo; Carrozzo, Eleonora; Corain, Livio; Salmaso, Luigi

Pages: 19 –35

[The measurement of the customer satisfaction concerns the gap between the customer expectations about the product or service and the perceptions of the customer after the consumption or use. In other words, the customer satisfaction is closely related to the concept of “perceived quality”....
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Ranking Multivariate Populations

Arboretti, Rosa; Bathke, Arne; Bonnini, Stefano; Bordignon, Paolo; Carrozzo, Eleonora; Corain, Livio; Salmaso, Luigi

Pages: 37 –55

[The need to define an appropriate ranking of several populations of interest, i.e. processes, products, and so on is very common within many areas of applied research such as Food Science, Chemistry, Engineering, Biomedicine, etc.]
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Composite Indicators and Satisfaction Profiles

Arboretti, Rosa; Bathke, Arne; Bonnini, Stefano; Bordignon, Paolo; Carrozzo, Eleonora; Corain, Livio; Salmaso, Luigi

Pages: 57 –69

[Evaluating the satisfaction about public services, organizations or products is very important in order to have a measure of their efficiency and effectiveness.]
Available

Analyzing Survey Data Using Multivariate Rank-Based Inference

Arboretti, Rosa; Bathke, Arne; Bonnini, Stefano; Bordignon, Paolo; Carrozzo, Eleonora; Corain, Livio; Salmaso, Luigi

Pages: 71 –84

[Data from customer satisfaction surveys are multivariate—there are several questions resulting in as many endpoints. Furthermore, survey data typically don’t fit into simple parametric models. Indeed, the endpoints or response variables may be measured on different types of scales (metric,...

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