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Simulation and Robust Statistics

This book addresses the topics statistical simulation and robust estimation. It is accompanied by several software packages for the open;

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Robust Statistics

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation;

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Robust Correlation Theory & Aplications

This bookpresents material on both the analysis of the classical concepts of correlation and on the development of their robust versions;

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Revival: Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical;

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Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical;

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Robust Statistics

, Robust Statistics , Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been;

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Recent Advances in Robust Statistics: Theory and Applications

This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International;

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Robust Statistics

methods is flourishing, with new methods being developed and different applications considered. Robust Statistics sets out to explain the use;

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Statistics and Simulation

This volume features original contributions and invited review articles on mathematical statistics, statistical simulation and experimental;

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Elements of Simulation

This book provides a guide to the elements of simulation in statistics, which will include developments and which may be used either as a;

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Elements of Simulation

This book provides a guide to the elements of simulation in statistics, which will include developments and which may be used either as a;

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Methodology in Robust and Nonparametric Statistics

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;

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Methodology in Robust and Nonparametric Statistics

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;

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Robust Statistics for Signal Processing

, robust bootstrap, and tensors. Robustness issues are illustrated throughout using real-world examples and key algorithms are included in a MATLAB;

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Applied Simulation Modeling (with CD-ROM)

the wide scope of application and the robust nature of simulation modeling. Special editions of ARENA and @Risk are packaged with the book.;

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Theory And Applications Of Recent Robust Methods

Intended for both researchers and practitioners, this book will be a valuable resource for studying and applying recent robust statistical;

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Simulation and Monte Carlo

Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational;

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Simulation and Monte Carlo

Simulation and Monte Carlo is aimed at students studying for degrees in Mathematics, Statistics, Financial Mathematics, Operational;

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Robust Methods in Biostatistics

methods introduced include robust estimation, testing, model selection, model check and diagnostics. They are developed for the following general;

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Illuminating Statistical Analysis Using Scenarios and Simulations

Features an integrated approach of statistical scenarios and simulations to aid readers in developing key intuitions needed to understand;

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Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear System

comprehensive framework of robust adaptive strategies, including theoretical analysis, algorithm design, simulation verification, and experimental;

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Statistics, Data Analysis And Decision Modeling

control; risk analysis and Monte-Carlo simulation; systems simulation modeling and analysis; selection models and decision analysis; optimization;

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Multi model Jumping Systems Robust Filtering and Fault Detection

combining stochastic jumping system, neural network and fuzzy models. It focuses on robust filtering, including finite-time robust filtering, finite;

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Discrete-Event System Simulation

of simulation experiments are treated extensively. Readily understandable to those having a basic familiarity with differential and integral calculus;

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Discrete-Event System Simulation

Appropriate for junior- senior-level Simulation courses in departments of Engineering, Management and Computer Science; or a second course;

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Performance Evaluation by Simulation and Analysis with Applications to Computer Networks

This book is devoted to the most used methodologies for performance evaluation: simulation using specialized software and mathematical;

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Statistics of Quality

quality and warranty; quality standards in medicine and public health; Taguchi robust designs and survival models; and more.;

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