Motivated from problems in canonical correlation analysis, reduced rank regression and sufficient dimension reduction, we introduce a double dimension reduction model where a single index of the multivariate response is linked to the multivariate covariate through a single index of these covariates, hence the name double single index model. Since nonlinear association between two sets of multiv...

We present an approach to integrate multiple fMRI datasets in the context of predictive fMRI data analysis. The approach utilizes canonical correlation analysis (CCA) to find common dimensions among the different datasets, and it does not require that the multiple fMRI datasets be spatially normalized. We apply the approach to the task of predicting brain activations for unseen concrete-noun wo...

water is one of the most valuable natural resources in human societies which is demanded by different parts of the society, and as one of the main inputs of production in agriculture has a special role in the agricultural sustainable development. nowadays, the consumption of water is more than the supply, and its highest consumption is in agriculture. this study scrutinized the role of manageme...

Abstract The paper’s novelty is in combining two comparatively new fields of research: non-transitive logic and the proof method correspondence analysis. To be more detailed, this paper latter adapted to Weir’s trivalent $${\mathbf{NC}}_{\mathbf{3}}$$ NC 3 . As a result...

Abstract. The purpose of this study was to investigate the effects of topographical factors on the classification of grassland plant communities in the rangelands of Ghorkhud, Northern Khorasan Province, Iran. For sampling, land units were specified. A floristic list was prepared using minimal area method based on the nested plot (Braun-Blanquet method). 116 10m2 furrows were selected. Within e...