Simultaneous marginal homogeneity versus directional alternatives for multivariate binary data with application to circular economy assessments
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Simultaneous marginal homogeneity versus directional alternatives for multivariate binary data with application to circular economy assessments
Authors
Keywords
-
Journal
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2023-10-06
DOI
10.1002/asmb.2827
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Relationship between Mental Health and Socio-Economic, Demographic and Environmental Factors in the COVID-19 Lockdown Period—A Multivariate Regression Analysis
- (2022) Stefano Bonnini et al. Mathematics
- The use of circular economy practices in SMEs across the EU
- (2019) Francesca Bassi et al. RESOURCES CONSERVATION AND RECYCLING
- Circular economy transition in Italy. Achievements, perspectives and constraints
- (2019) Patrizia Ghisellini et al. JOURNAL OF CLEANER PRODUCTION
- Circular economy practices in the leather industry: A practical step towards sustainable development
- (2019) Md. Abdul Moktadir et al. JOURNAL OF CLEANER PRODUCTION
- Bonferroni-Holm and permutation tests to compare health data: methodological and applicative issues
- (2018) Massimiliano Giacalone et al. BMC Medical Research Methodology
- Efforts for a Circular Economy in China: A Comprehensive Review of Policies
- (2018) Junming Zhu et al. JOURNAL OF INDUSTRIAL ECOLOGY
- Measuring circular economy strategies through index methods: A critical analysis
- (2017) Valerio Elia et al. JOURNAL OF CLEANER PRODUCTION
- Does the iodized salt therapy of pregnant mothers increase the children IQ? Empirical evidence of a statistical study based on permutation tests
- (2017) Massimiliano Giacalone et al. QUALITY & QUANTITY
- The history and current applications of the circular economy concept
- (2017) K. Winans et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Towards circular economy implementation: a comprehensive review in context of manufacturing industry
- (2016) Michael Lieder et al. JOURNAL OF CLEANER PRODUCTION
- A Bayesian nonparametric model for spatially distributed multivariate binary data with application to a multidrug-resistant tuberculosis (MDR-TB) study
- (2014) Jian Kang et al. BIOMETRICS
- Testing for Heterogeneity with Categorical Data: Permutation Solution vs. Bootstrap Method
- (2014) Stefano Bonnini COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
- Permutation Approaches for Stochastic Ordering
- (2014) Stefano Bonnini et al. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
- The linear stochastic order and directed inference for multivariate ordered distributions
- (2013) Ori Davidov et al. ANNALS OF STATISTICS
- Testing for the Multivariate Stochastic Order among Ordered Experimental Groups with Application to Dose-Response Studies
- (2013) Ori Davidov et al. BIOMETRICS
- Order-Restricted Inference for Multivariate Binary Data With Application to Toxicology
- (2011) Ori Davidov et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Ordered inference, rank statistics and combining -values: A new perspective
- (2011) Ori Davidov Statistical Methodology
- Testing marginal homogeneity in clustered matched-pair data
- (2010) Zhao Yang et al. JOURNAL OF STATISTICAL PLANNING AND INFERENCE
- Testing Marginal Homogeneity Against Stochastic Order in Multivariate Ordinal Data
- (2008) B. Klingenberg et al. BIOMETRICS
- Some new results on univariate and multivariate permutation tests for ordinal categorical variables under restricted alternatives
- (2008) Rosa Arboretti Giancristofaro et al. Statistical Methods and Applications
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search