Ranking of multivariate populations : a permutation approach with applications / Livio Corain, Rosa Arboretti and Stefano Bonnini.
Material type:
TextPublication details: Boca Raton : CRC Press, ©2016.Description: xiii, 328 pages : illustrations ; 24 cmISBN: - 9781466505544 (alk. paper)
- 000SA.07 23 C787
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.07 C787 (Browse shelf(Opens below)) | Available | 137810 |
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| 000SA.07 C435 Hanbook of multivariate process capability indices/ | 000SA.07 C495 Some univariate and multivariate process capability indices / | 000SA.07 C518 Multivariate Bonferroni-type inequalities : | 000SA.07 C787 Ranking of multivariate populations : | 000SA.07 D395 Applied univariate, bivariate, and multivariate statistics / | 000SA.07 D573 Statistical analysis of spatial and spatio-temporal point patterns / | 000SA.07 D951 Principles of copula theory / |
Includes bibliographical references and index.
1. Introduction and motivation --
2. Permutation tests and nonparametric combination methodology --
3. A permutation approach for ranking of multivariate populations --
4. Software nonparametric combination global ranking --
5. Applications to new product development in industry --
6. Subjective evaluations and perceived quality of the indoor environment --
7. Evaluating customer satisfaction in public and private services --
8. Cytological and histological analysis by image processing: ranking approach.
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.
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