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010   $a3-319-91740-4
024 7 $a10.1007/978-3-319-91740-5
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035   $a(MiAaPQ)EBC5433832
035   $a(DE-He213)978-3-319-91740-5
035   $a(PPN)229495583
035   $a(EXLCZ)994100000004835991
100   $a20180618d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aParametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data /$fby Rosa Arboretti, Arne Bathke, Stefano Bonnini, Paolo Bordignon, Eleonora Carrozzo, Livio Corain, Luigi Salmaso
205   $a1st ed. 2018.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018.
215   $a1 online resource (90 pages)
225 1 $aSpringerBriefs in Statistics,$x2191-544X
311   $a3-319-91739-0 
327   $aChapter 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.
330   $aThis book deals with problems related to the evaluation of customer satisfaction in very different contexts and ways. Often satisfaction about a product or service is investigated through suitable surveys which try to capture the satisfaction about several partial aspects which characterize the perceived quality of that product or service. This book presents a series of statistical techniques adopted to analyze data from real situations where customer satisfaction surveys were performed. The aim is to give a simple guide of the variety of analysis that can be performed when analyzing data from sample surveys: starting from latent variable models to heterogeneity in satisfaction and also introducing some testing methods for comparing different customers. The book also discusses the construction of composite indicators including different benchmarks of satisfaction. Finally, some rank-based procedures for analyzing survey data are also shown.
410  0$aSpringerBriefs in Statistics,$x2191-544X
606   $aStatistics 
606   $aMathematical statistics
606   $aComputer mathematics
606   $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001
606   $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036
606   $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X
615  0$aStatistics .
615  0$aMathematical statistics.
615  0$aComputer mathematics.
615 14$aStatistical Theory and Methods.
615 24$aProbability and Statistics in Computer Science.
615 24$aComputational Mathematics and Numerical Analysis.
676   $a382.072
700   $aArboretti$b Rosa$4aut$4http://id.loc.gov/vocabulary/relators/aut$0970358
702   $aBathke$b Arne$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aBonnini$b Stefano$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aBordignon$b Paolo$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aCarrozzo$b Eleonora$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aCorain$b Livio$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aSalmaso$b Luigi$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910300120603321
996   $aParametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data$92205556
997   $aUNINA