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The Resource Modern analysis of customer surveys : with applications using R, edited by Ron S. Kenett, Silvia Salini

Modern analysis of customer surveys : with applications using R, edited by Ron S. Kenett, Silvia Salini

Label
Modern analysis of customer surveys : with applications using R
Title
Modern analysis of customer surveys
Title remainder
with applications using R
Statement of responsibility
edited by Ron S. Kenett, Silvia Salini
Creator
Contributor
Editor
Subject
Language
eng
Summary
"Customer survey studies deals with customers, consumers and user satisfaction from a product or service. In practice, many of the customer surveys conducted by business and industry are analyzed in a very simple way, without using models or statistical methods. Typical reports include descriptive statistics and basic graphical displays. As demonstrated in this book, integrating such basic analysis with more advanced tools, provides insights on non-obvious patterns and important relationships between the survey variables. This knowledge can significantly affect the conclusions derived from a survey. Key features: Provides an integrated, case-studies based approach to analysing customer survey data. Presents a general introduction to customer surveys, within an organization's business cycle. Contains classical techniques with modern and non standard tools. Focuses on probabilistic techniques from the area of statistics/data analysis and covers all major recent developments. Accompanied by a supporting website containing datasets and R scripts. Customer survey specialists, quality managers and market researchers will benefit from this book as well as specialists in marketing, data mining and business intelligence fields."--
Member of
Assigning source
Provided by Publisher
Cataloging source
DLC
http://library.link/vocab/creatorName
Kenett, Ron
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Salini, Silvia
Series statement
Statistics in practice
http://library.link/vocab/subjectName
  • Consumer satisfaction
  • Consumer satisfaction
  • Consumers
  • Consumers
  • Sampling (Statistics)
  • Surveys
  • Surveys
Label
Modern analysis of customer surveys : with applications using R, edited by Ron S. Kenett, Silvia Salini
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
  • 3.
  • Census and sample surveys
  • Giovanna Nicolini and Luciana Dalla Valle;
  • 4.
  • Measurement scales
  • Andrea Bonanomi and Gabriele Cantaluppi;
  • 5.
  • Integrated analysis
  • Silvia Biffignandi;
  • 6.
  • Part I.
  • Web surveys
  • Roberto Furlan and Diego Martone;
  • 7.
  • The concept and assessment of customer satisfaction
  • Irena Ograjensĕk and Iddo Gal;
  • 8.
  • Missing data and imputation methods
  • Alessandra Mattei, Fabrizia Mealli and Donald B. Rubin;
  • 9.
  • Outliers and robustness for ordinal data
  • Basic Apsects of Customer Satisfaction Survey Data Analysis:
  • Marco Riani, Francesca Torti and Sergio Zani
  • Part II.
  • Modern Techniques in Customer Satisfaction Survey Data Analysis:
  • 10.
  • Statistical inference for causal effects
  • Fabrizia Mealli, Barbara Pacini and Donald B. Rubin;
  • 11.
  • Bayesian networks applied to customer surveys
  • Ron S. Kenett, Giovanni Perruca and Silvia Salini;
  • 12.
  • 1.
  • Log-linear model methods
  • Stephen E. Fienberg and Daniel Manrique-Vallier;
  • 13.
  • CUB models: statistical methods and empirical evidence
  • Maria Iannario and Domenico Piccolo;
  • 14.
  • The Rasch model
  • Francesca De Battisti, Giovanna Nicolini and Silvia Salini;
  • 15.
  • Tree-based methods and decision trees
  • Standards and classical techniques in data analysis of customer satisfaction surveys
  • Giuliano Galimberti and Gabriele Soffritti;
  • 16.
  • PLS models
  • Giuseppe Boari and Gabriele Cantaluppi;
  • 17.
  • Nonlinear principal component analysis
  • Pier Alda Ferrari and Alessandro Barbiero;
  • 18.
  • Multidimensional scaling
  • Nadia Solaro;
  • Silvia Salini and Ron S Kenett;
  • 19.
  • Multilevel models for ordinal data
  • Leonardo Grilli and Carla Rampichini;
  • 20.
  • Quality standards and control charts applied to customer surveys
  • Ron S. Kenett, Laura Deldossi and Diego Zappa;
  • 21.
  • Fuzzy methods and satisfaction indices
  • Sergio Zani, Maria Adele Milioli and Isabella Morlini
  • Appendix: An introduction to R
  • 2.
  • Stefano Maria Iacus
  • The ABC annual customer satisfaction survey
  • Ron S. Kenett and Silvia Salini;
Control code
FIEb17322431
Dimensions
26 cm.
Extent
xxiv, 500 pages
Isbn
9780470971284
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)742234547
Label
Modern analysis of customer surveys : with applications using R, edited by Ron S. Kenett, Silvia Salini
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier.
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
  • 3.
  • Census and sample surveys
  • Giovanna Nicolini and Luciana Dalla Valle;
  • 4.
  • Measurement scales
  • Andrea Bonanomi and Gabriele Cantaluppi;
  • 5.
  • Integrated analysis
  • Silvia Biffignandi;
  • 6.
  • Part I.
  • Web surveys
  • Roberto Furlan and Diego Martone;
  • 7.
  • The concept and assessment of customer satisfaction
  • Irena Ograjensĕk and Iddo Gal;
  • 8.
  • Missing data and imputation methods
  • Alessandra Mattei, Fabrizia Mealli and Donald B. Rubin;
  • 9.
  • Outliers and robustness for ordinal data
  • Basic Apsects of Customer Satisfaction Survey Data Analysis:
  • Marco Riani, Francesca Torti and Sergio Zani
  • Part II.
  • Modern Techniques in Customer Satisfaction Survey Data Analysis:
  • 10.
  • Statistical inference for causal effects
  • Fabrizia Mealli, Barbara Pacini and Donald B. Rubin;
  • 11.
  • Bayesian networks applied to customer surveys
  • Ron S. Kenett, Giovanni Perruca and Silvia Salini;
  • 12.
  • 1.
  • Log-linear model methods
  • Stephen E. Fienberg and Daniel Manrique-Vallier;
  • 13.
  • CUB models: statistical methods and empirical evidence
  • Maria Iannario and Domenico Piccolo;
  • 14.
  • The Rasch model
  • Francesca De Battisti, Giovanna Nicolini and Silvia Salini;
  • 15.
  • Tree-based methods and decision trees
  • Standards and classical techniques in data analysis of customer satisfaction surveys
  • Giuliano Galimberti and Gabriele Soffritti;
  • 16.
  • PLS models
  • Giuseppe Boari and Gabriele Cantaluppi;
  • 17.
  • Nonlinear principal component analysis
  • Pier Alda Ferrari and Alessandro Barbiero;
  • 18.
  • Multidimensional scaling
  • Nadia Solaro;
  • Silvia Salini and Ron S Kenett;
  • 19.
  • Multilevel models for ordinal data
  • Leonardo Grilli and Carla Rampichini;
  • 20.
  • Quality standards and control charts applied to customer surveys
  • Ron S. Kenett, Laura Deldossi and Diego Zappa;
  • 21.
  • Fuzzy methods and satisfaction indices
  • Sergio Zani, Maria Adele Milioli and Isabella Morlini
  • Appendix: An introduction to R
  • 2.
  • Stefano Maria Iacus
  • The ABC annual customer satisfaction survey
  • Ron S. Kenett and Silvia Salini;
Control code
FIEb17322431
Dimensions
26 cm.
Extent
xxiv, 500 pages
Isbn
9780470971284
Media category
unmediated
Media MARC source
rdamedia.
Media type code
  • n
Other physical details
illustrations
System control number
(OCoLC)742234547

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