, and the question arises how the recently proposed concept of nominal correlation and regression (NCR) relates to it. (1 … regressions, NRC may show that the correlation still is low. (5) Risk difference regression may be a bridge to understand more …Logistic regression (LR) is one of the most used estimation techniques for nominal data collected in contingency tables …

using the regression and correlation method. The results prove that modern agriculture cannot exist in a rudimentary economy …

formulated, with the parameters interpretable as regression coefficients. Requiring conditional independence would be too strong …

a measure of weaker correlation. Finally, when also variances are defined then regression coefficients can be determined …Nominal data currently lack a correlation coefficient, such as has already defined for real data. A measure is possible … association matrix. If that matrix is also positive semi-definite (PSD) then it is a proper correlation matrix. The overall …

governance as well as economic and political competition, whereas the role of collaboration mechanisms is growing. This process … collaboration and compromise. The cultural transformation creates new institutions and, the same time, is supported by them. Thereby … the state - the market, a more general view - the philosophy of collaboration (collaborativism) is suggested. …

support integrated collaboration in business services. Stating this, we mean collaborative systems of different type … based on knowledge, and between collaboration and knowledge management (KM) there is a strong interdependence. Therefore, we …

children's learning. Additionally, the role would require them to forge collaboration with the parents for a successful …