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000843665 020__ $$a9783319917405$$q(electronic book)
000843665 020__ $$a3319917404$$q(electronic book)
000843665 020__ $$z9783319917399
000843665 035__ $$aSP(OCoLC)on1041152798
000843665 035__ $$aSP(OCoLC)1041152798
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000843665 049__ $$aISEA
000843665 050_4 $$aHF5415.32
000843665 08204 $$a658.8342072/7$$223
000843665 1001_ $$aArboretti, Rosa,$$eauthor.
000843665 24510 $$aParametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data /$$cRosa Arboretti, Arne Bathke, Stefano Bonnini, Paolo Bordignon, Eleonora Carrozzo, Livio Corain, Luigi Salmaso.
000843665 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2018]
000843665 264_4 $$c©2018
000843665 300__ $$a1 online resource.
000843665 336__ $$atext$$btxt$$2rdacontent
000843665 337__ $$acomputer$$bc$$2rdamedia
000843665 338__ $$aonline resource$$bcr$$2rdacarrier
000843665 4901_ $$aSpringerBriefs in statistics
000843665 504__ $$aIncludes bibliographical references and index.
000843665 5050_ $$aIntro; Preface; Acknowledgments; Contents; 1 The CUB Models; 1.1 Description of CUB Models Structure; 1.1.1 Model Extensions; 1.2 Fitting Measures; 1.3 A Food Packaging Survey; 1.4 Final Remarks; References; 2 Customer Satisfaction Heterogeneity; 2.1 Heterogeneity Indices; 2.2 Two-Sample Test for Dominance in Heterogeneity; 2.2.1 Problem Definition; 2.2.2 Permutation Test; 2.3 Two-Sided Test; 2.4 Multisample Test; 2.5 Further Theoretical Developments and Practical Suggestions for Users; References; 3 Ranking Multivariate Populations; 3.1 Ranking Methods
000843665 5058_ $$a3.2 Set-Up of the Multivariate Ranking Problem3.3 Application to Food Sensory Analysis; 3.3.1 Wine Quality; 3.3.2 Cream Cheese; 3.3.3 Assessing Five Breads; References; 4 Composite Indicators and Satisfaction Profiles; 4.1 NPC-Based Composite Indicator; 4.1.1 Link Function; 4.1.2 How to Compute the NPC-Based Composite Indicator Including Satisfaction Profiles; 4.2 A Students' Satisfaction Survey; 4.2.1 Satisfaction Profiles; 4.2.2 Taking into Account All Partial Aspects; References; 5 Analyzing Survey Data Using Multivariate Rank-Based Inference
000843665 5058_ $$a5.1 Why Should Classical Parametric MANOVA Methods Not Be Used for Categorical Responses?5.2 How Does the Nonparametric Multivariate Model Look Like?; 5.3 How Can Inference Be Performed for theGlobal Null Hypothesis?; 5.4 How to Perform These Tests with Statistical Software?; 5.5 Which Groups Differ from Each Other?; 5.6 In Which Endpoints Do the Groups Differ?; 5.7 How to Interpret the Results?; References
000843665 506__ $$aAccess limited to authorized users.
000843665 520__ $$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."--$$cProvided by publisher.
000843665 588__ $$aOnline resource; title from PDF title page (viewed June 25, 2018).
000843665 650_0 $$aConsumers$$xStatistics.
000843665 650_0 $$aMarket surveys.
000843665 650_0 $$aConsumer satisfaction.
000843665 830_0 $$aSpringerBriefs in statistics.
000843665 852__ $$bebk
000843665 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-91740-5$$zOnline Access$$91397441.1
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000843665 980__ $$aBIB
000843665 982__ $$aEbook
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