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Advances in Mathematical and Statistical Modeling

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Cover of 'Advances in Mathematical and Statistical Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Enrique Castillo’s Contributions to Conditional Specification
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    Chapter 2 The Polygonal Distribution
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    Chapter 3 Conditionally Specified Models: New Developments and Applications
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    Chapter 4 Modelling of Insurance Claim Count with Hurdle Distribution for Panel Data
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    Chapter 5 Distance Based Association and Multi-Sample Tests for General Multivariate Data
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    Chapter 6 Empirical Bayes Assessment of the Hyperparameters in Bayesian
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    Chapter 7 Negative Mixtures Order Statistics and Systems
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    Chapter 8 Models of Ordered Data and Products of Beta Random Variables
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    Chapter 9 Exact Inference and Optimal Censoring Scheme for a Simple Step-Stress Model Under Progressive Type-II Censorig
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    Chapter 10 Non Gaussian State Estimation in Power Systems
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    Chapter 11 Statistics Applied to Wave Climate on a Beach Profile
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    Chapter 12 On Some Dependence Measures for Multivariate Extreme Value Distributions
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    Chapter 13 Ratio of Maximum to the Sum for Testing Super Heavy Tails
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    Chapter 14 Tail Behaviour An Empirical Study
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    Chapter 15 An Example of Real–Life Data Where the Hill Estimator is Correct
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    Chapter 16 Deriving Credibility Premiums Under Different Bayesian Methodology
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    Chapter 17 The Influence of Transport Links on Disaggregation and Regionalization Methods in Interregional Input-Output Models Between Metropolitan and Remote Areas
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    Chapter 18 Jackknife Bias Correction of a Clock Offset Estimator
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    Chapter 19 Pretesting in Polytomous Logistic Regression Models Based on Phi-divergence Measures
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    Chapter 20 A Unified Approach to Model Selection, Discrimination, Goodness of Fit and Outliers in Time Series
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    Chapter 21 Generalized Linear Models Diagnostics for Binary Data using Divergence Measures
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    Chapter 22 Some Problems in Geometric Processing of Surfaces
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    Chapter 23 Generalized Inverse Computation Based on an Orthogonal Decomposition Methodology
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    Chapter 24 Single and Ensemble Fault Classifiers Based on Features Selected by Multi-Objective Genetic Algorithms
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    Chapter 25 Feasibility Conditions in Engineering Problems Involving a Parametric System of Linear Inequalities
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    Chapter 26 Forecasting Nonlinear Systems with Neural Networks via Anticipated Synchronization
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    Chapter 27 The Discrete Half-Normal Distribution
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    Chapter 28 Parameter Estimation for Certain q-Hypergeometric Distributions
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Title
Advances in Mathematical and Statistical Modeling
Published by
Birkhäuser Boston, April 2009
DOI 10.1007/978-0-8176-4626-4
ISBNs
978-0-8176-4625-7, 978-0-8176-4626-4
Editors

Minguez, Roberto, Sarabia, Jose-Maria, Balakrishnan, N., Arnold, Barry C.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
United States 1 2%
Germany 1 2%
Belgium 1 2%
Unknown 43 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Student > Doctoral Student 8 17%
Researcher 8 17%
Professor 3 6%
Lecturer 2 4%
Other 6 13%
Unknown 8 17%
Readers by discipline Count As %
Mathematics 16 33%
Engineering 10 21%
Economics, Econometrics and Finance 3 6%
Earth and Planetary Sciences 2 4%
Business, Management and Accounting 2 4%
Other 7 15%
Unknown 8 17%