Service Systems Engineering and Management - Figure Slides
CRC Press
1st Edition
Will be published approx. on 5. January 2018
Other
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978-1-4987-2310-7 (ISBN)
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Description
Data for where a distribution is given for each entity and variable are called distributional data. In the era of "Big Data" these data types are becoming increasingly prevalent. This edited book presents a synthesis of research in this area over the last twenty years or so. It has been carefully edited to ensure it is consistent with respect to style, level, notation, etc. Each chapter includes real data examples to illustrate the topics and software where appropriate.
More details
Language
English
Place of publication
Boca Raton, Florida
United States
ISBN-13
978-1-4987-2310-7 (9781498723107)
Schweitzer Classification
Persons
Paula Brito is an Associate Professor in Statistics and Data Analysis at the Faculty of Economics, Universidade do Porto, Porto, Portugal
Author
The Pennsylvania State University, University Park, USA
Content
Introduction and motivation, overview of the book. Descriptive statistics for distributional data. Clustering. Classification. Factorial methods (including PCA methods and multidimensional scaling). Forecasting. The Quantile approach. The compositional data approach to distributional data.