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
Resource Information
The item Modern analysis of customer surveys : with applications using R, edited by Ron S. Kenett, Silvia Salini represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.This item is available to borrow from 1 library branch.
Resource Information
The item Modern analysis of customer surveys : with applications using R, edited by Ron S. Kenett, Silvia Salini represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute.
This item is available to borrow from 1 library branch.
- 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."--
- Language
- eng
- Extent
- xxiv, 500 pages
- 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;
- Isbn
- 9780470971284
- 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
- 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."--
- 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
- 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
- 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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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/portal/Modern-analysis-of-customer-surveys--with/uPGuzvpKm80/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Modern-analysis-of-customer-surveys--with/uPGuzvpKm80/">Modern analysis of customer surveys : with applications using R, edited by Ron S. Kenett, Silvia Salini</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.eui.eu/">European University Institute</a></span></span></span></span></div>
