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Distribution Models Theory

Distribution Models Theory PDF Author: Rafael HerrerĀ”as-Pleguezuelo
Publisher: World Scientific
ISBN: 9812772995
Category : Business & Economics
Languages : en
Pages : 307

Book Description
Distribution Models Theory is a revised edition of papers specially selected by the Scientific Committee for the Fifth Workshop of Spanish Scientific Association of Applied Economy on Distribution Models Theory held in Granada (Spain) in September 2005. The contributions offer a must-have point of reference on models theory. This book has been selected for coverage in: . OCo Index to Scientific & Technical Proceedings- (ISTP-/ISI Proceedings). OCo Index to Scientific & Technical Proceedings (ISTP CDROM version/ISI Proceedings). Sample Chapter(s). Chapter 1: Modeling Income Distributions Using Elevated Distributions on a Bounded Domain (313 KB). Contents: Modeling Income Distributions Using Elevated Distributions on a Bounded Domain; Making Copulas Under Uncertainty; Valuation Method of the Two Survival Functions; Weighting Tools and Alternative Techniques to Generate Weighted Probability Models in Valuation Theory; On Generating and Characterizing Some Discrete and Continuous Distributions; Some Stochastic Properties in Sampling from the Normal Distribution; Generating Function and Polarization; A New Measure of Dissimilarity Between Distributions: Application to the Analysis of Income Distributions Convergence in the European Union; Using the Gamma Distribution to Fit Fecundity Curves for Application in Andalusia (Spain); Classes of Bivariate Distributions with Normal and Lognormal Conditionals: A Brief Revision; Inequality Measures, Lorenz Curves and Generating Functions; Extended Waring Bivariate Distribution; Applying a Bayesian Hierarchical Model in Actuarial Science: Inference and Ratemaking; Analysis of the Empirical Distribution of the Residuals Derived from Fitting the Heligman and Pollard Curve to Mortality Data; Measuring the Efficiency of the Spanish Banking Sector: Super-Efficiency and Profitability. Readership: Upper undergraduates, graduates, academics, and professionals in mathematics, economics, statistics, and engineering."