Boca Raton: CRC Press, 2016. — 314 p. — ISBN 978-1-4665-0555-1.
Describes a flexible, reliable, and powerful permutation and combination approach for solving multivariate ranking problems
Integrates methods of ranking and selection from the perspective of this new nonparametric approach
Emphasizes applications and problem solving
Ranking of Multivariate Populations: A Permutation Approach with Applications presents a novel permutation-based nonparametric approach for ranking several multivariate populations. Using data collected from both experimental and observation studies, it covers some of the most useful designs widely applied in research and industry investigations, such as multivariate analysis of variance (MANOVA) and multivariate randomized complete block (MRCB) designs.
The first section of the book introduces the topic of ranking multivariate populations by presenting the main theoretical ideas and an in-depth literature review. The second section discusses a large number of real case studies from four specific research areas: new product development in industry, perceived quality of the indoor environment, customer satisfaction, and cytological and histological analysis by image processing. A web-based nonparametric combination global ranking software is also described.
Designed for practitioners and postgraduate students in statistics and the applied sciences, this application-oriented book offers a practical guide to the reliable global ranking of multivariate items, such as products, processes, and services, in terms of the performance of all investigated products/prototypes.
Theory and Methods
Introduction and MotivationSome Guideline Examples
Formalization of the Problem and General Solution
Literature Review of the Ranking Problem
Specificities and Advantages of the Permutation Approach for the Multivariate Ranking Problem
Multivariate Ranking and Quality Improvement
Permutation Tests and Nonparametric Combination MethodologyIntroduction to Permutation Tests
Multivariate Permutation Tests and Nonparametric Combination Methodology
Hypothesis Testing for Curve Comparison
Some Properties of Univariate and Multivariate Permutation Tests
A Permutation Approach for Ranking of Multivariate PopulationsSet-Up of the Multivariate Ranking Problem
Some Monte Carlo Simulation Studies to Validate the Ranking Methods for Multivariate Populations
Software Tools, Applications and Case Studies
Software Nonparametric Combination Global RankingIntegrating R and PHP in a Web App Framework
User Registration and Input/Output Management
NPC Global Ranking
Applications to New Product Development in IndustryOne-Way MANOVA Dose–Response Experiment
Multivariate Repeated Measures Experiments for NPD
Sensory Test: ST Analysis
Ranking Approach on the Issue of Consumer Relevance in NPD
Subjective Evaluations and Perceived Quality of the Indoor EnvironmentEvaluation of Indoor Environmental Conditions in Educational Buildings
Evaluation of Indoor Environment Conditions in Classrooms
Measured and Perceived Indoor Environmental Quality at a Hospital
Evaluating Customer Satisfaction in Public and Private ServicesSurvey on Job Satisfaction of Ph.D. Graduates from the University of Ferrara
Performance and Perceived Quality of Services Delivered by Italian Public Administrations
Customer Satisfaction on Ski Teaching Service: S.E.S.T.O. Survey
Customer Satisfaction Evaluation of Tourist Facilities: Sesto Nature Survey Case Study
Survey of the Potential of the Passito Wine Market
Longitudinal Survey to Evaluate Perception of Malodours
Evaluation of Customer Satisfaction on Public Transport Services
Cytological and Histological Analysis by Image Processing: Ranking ApproachRanking of Estradiol Exposures on Intracellular Calcium Concentration in Bovine Brain–Derived Endothelial Cells
Ranking of Trophic Effects from Oestrogen Exposure of Primary Cell Cultures from Foetal Bovine Cerebellum
Ranking of Storing Conditions in the Tanning Industry to Preserve Bovine Skin