Advances in Mathematical and Statistical Modeling

Distribution Theory and Applications. - Enrique Castillo#x02019; s Contributions to Conditional Specification. - The Polygonal Distribution. - Conditionally Specified Models: New Developments and Applications. - Modelling of Insurance Claim Count with Hurdle Distribution for Panel Data. - Distance Based Association and Multi-Sample Tests for General Multivariate Data. - Probability and Statistics. - Empirical Bayes Assessment of the Hyperparameters in Bayesian. - Order Statistics and Analysis. - Negative Mixtures Order Statistics and Systems. - Models of Ordered Data and Products of Beta Random Variables. - Exact Inference and Optimal Censoring Scheme for a Simple Step-Stress Model Under Progressive Type-II Censorig. - Engineering Modeling. - Non Gaussian State Estimation in Power Systems. - Statistics Applied to Wave Climate on a Beach Profile. - Extreme Value Theory. - On Some Dependence Measures for Multivariate Extreme Value Distributions. - Ratio of Maximum to the Sum for Testing Super Heavy Tails. - Tail Behaviour An Empirical Study. - An Example of Real#x02013; Life Data Where the Hill Estimator is Correct. - Business and Economics Applications. - Deriving Credibility Premiums Under Different Bayesian Methodology. - The Influence of Transport Links on Disaggregation and Regionalization Methods in Interregional Input-Output Models Between Metropolitan and Remote Areas. - Statistical Methods. - Jackknife Bias Correction of a Clock Offset Estimator. - Pretesting in Polytomous Logistic Regression Models Based on Phi-divergence Measures. - A Unified Approach to Model Selection, Discrimination, Goodness of Fit and Outliers in Time Series. - Generalized Linear Models Diagnostics for Binary Data using Divergence Measures. - Applied Mathematics. - Some Problems in Geometric Processing of Surfaces. - Generalized Inverse Computation Based on an Orthogonal Decomposition Methodology. - Single and Ensemble Fault Classifiers Based on Features Selected by Multi-Objective Genetic Algorithms. - Feasibility Conditions in Engineering Problems Involving a Parametric System of Linear Inequalities. - Forecasting Nonlinear Systems with Neural Networks via Anticipated Synchronization. - Discrete Distributions. - The Discrete Half-Normal Distribution. - Parameter Estimation for Certain q-Hypergeometric Distributions.