Advances in Mathematical and Statistical Modeling [electronic resource] / edited by Roberto Minguez, JoseMaria Sarabia, N. Balakrishnan, Barry C. Arnold.
Contributor(s): Minguez, Roberto [editor.]  Sarabia, JoseMaria [editor.]  Balakrishnan, N [editor.]  Arnold, Barry C [editor.]  SpringerLink (Online service).
Material type: TextSeries: Statistics for Industry and Technology: Publisher: Boston : Birkhäuser Boston, 2008Description: XXXIV, 368 p. 56 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780817646264.Subject(s): Distribution (Probability theory  Mathematical statistics  Statistics  Computer science  Mathematical Modeling and Industrial Mathematics  Probability Theory and Stochastic Processes  Statistical Theory and Methods  Statistics for Business/Economics/Mathematical Finance/Insurance  Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences  Computational Science and EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 003.3 Online resources: Click here to access onlineItem type  Current location  Call number  Status  Date due  Barcode  Item holds  

EBOOKS 
ISI Library, Kolkata

Available  EB1501 
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 MultiSample 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 StepStress Model Under Progressive TypeII 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 InputOutput Models Between Metropolitan and Remote Areas  Statistical Methods  Jackknife Bias Correction of a Clock Offset Estimator  Pretesting in Polytomous Logistic Regression Models Based on Phidivergence 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 MultiObjective 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 HalfNormal Distribution  Parameter Estimation for Certain qHypergeometric Distributions.
Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized to honor Castillo's significant contributions, this volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety, reliability and lifetesting, financial modeling, quality control, general inference, as well as neural networks and computational techniques. The book is divided into nine major sections: * Distribution Theory and Applications * Probability and Statistics * Order Statistics and Analysis * Engineering Modeling * Extreme Value Theory * Business and Economics Applications * Statistical Methods * Applied Mathematics * Discrete Distributions This comprehensive reference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics communities. Practitioners, researchers, and graduate students in mathematical and statistical modeling, optimization, and computing will benefit from this work.
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