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Full-Text Articles in Statistical Models
Mixture Model Cluster Analysis Under Different Covariance Structures Using Information Complexity, Bahar Erar
Mixture Model Cluster Analysis Under Different Covariance Structures Using Information Complexity, Bahar Erar
Masters Theses
In this thesis, a mixture-model cluster analysis technique under different covariance structures of the component densities is developed and presented, to capture the compactness, orientation, shape, and the volume of component clusters in one expert system to handle Gaussian high dimensional heterogeneous data sets to achieve flexibility in currently practiced cluster analysis techniques. Two approaches to parameter estimation are considered and compared; one using the Expectation-Maximization (EM) algorithm and another following a Bayesian framework using the Gibbs sampler. We develop and score several forms of the ICOMP criterion of Bozdogan (1994, 2004) as our fitness function; to choose the number …
Arima Models For Bank Failures: Prediction And Comparison, Fangjin Cui
Arima Models For Bank Failures: Prediction And Comparison, Fangjin Cui
UNLV Theses, Dissertations, Professional Papers, and Capstones
The number of bank failures has increased dramatically over the last twenty-two years. A common notion in economics is that some banks can become "too big to fail." Is this still a true statement? What is the relationship, if any, between bank sizes and bank failures? In this thesis, the proposed modeling techniques are applied to real bank failure data from the FDIC. In particular, quarterly data from 1989:Q1 to 2010:Q4 are used in the data analysis, which includes three major parts: 1) pairwise bank failure rate comparisons using the conditional test (Przyborowski and Wilenski, 1940); 2) development of the …