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Statistics - Physical & Information Science | Ranking and Prioritization for Multi-indicator Systems - Introduction to Partial Order Applications (Reviews)

Ranking and Prioritization for Multi-indicator Systems

Introduction to Partial Order Applications

Brüggemann, Rainer, Patil, Ganapati P.

2011, XXVI, 338 p.

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From the reviews:

“The main aim of the book is to introduce the modern tools and methodologies of the so-called partial order ranking for prioritization of objects by many different characteristics. … is addressed to graduate students and specialists in environmental, ecological, and other applied sciences requiring ordering and prioritization of many objects by numerous characteristics. … these new methods of partial order analysis can be insightful and useful, and extend the regular tool-kit of statisticians applying more conventional methods of PCA, factor analysis, data clustering, and segmentation.” (Stan Lipovetsky, Technometrics, Vol. 54 (2), May, 2012)

 

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