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Taking clue from pioneer work of Chen and Singh (J Mod Appl Stat Methods 11:105–122, 2012), we have suggested a generalized RR procedure, for estimating the multinomial proportions of potentially sensitive attributes in survey sampling, using higher order moments of scrambling variables at the...
This study applies a new Bayesian univariate ordered probit model to happiness data on Australia, Canada, and the US, with immigration status and religion status reflecting individual heterogeneity in the threshold model. The empirical results show that the models that include individual...
The Ising model was originally developed to model magnetisation of solids in statistical physics. As a network of binary variables with the probability of becoming ’active’ depending only on direct neighbours, the Ising model appears appropriate for many other processes. For instance, it was...
Educational practitioners have used mind mapping as an instructional strategy for decades. Recently, researchers have explored the use of mind mapping in classroom settings, and observed that using this tool may benefit students’ conceptual understanding, as well as improve their creativity....
We propose a multivariate nonlinear mixed effects model for clustering multiple longitudinal data. Advantages of the nonlinear mixed effects model are that it is easy to handle unbalanced data which highly occur in the longitudinal study, and it can take into account associations among...
This paper deals with the convergence in distribution of estimators of some conditional parameters in the Functional Data Analysis framework. In fact, we consider models where the input is of functional kind and the output is a scalar. Then, we establish the asymptotic normality of the...
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