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Monte Carlo Library Least-Squares Approach to EDXRF Elemental Analysis

The Monte Carlo library Least-Squares (MCLLS) approach essentially consists of using Monte Carlo simulation to generate the libraries;

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Inverse Problem Theory and Methods for Model Parameter Estimation

algorithmic details for Monte Carlo methods, least-squares discrete problems, and least-squares problems involving functions. In addition, some;

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Real Options Analysis

of real options analysis, including the valuation of oil and gas reserves using cointegrated prices and least-squares Monte Carlo; flexibility;

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The Monte Carlo Simulation Method for System Reliability and Risk Analysis

assumptions on system behavior to be relaxed. The Monte Carlo Simulation Method for System Reliability and Risk Analysis comprehensively illustrates;

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Handbook of Monte Carlo Methods

and their continuing development makes it important for researchers to have a comprehensive understanding of the Monte Carlo approach;

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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods

This book is concerned with a probabilistic approach for image analysis, mostly from the Bayesian point of view, and the important Markov;

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Project Valuation and Decision Making under Risk and Uncertainty applying Decision Tree Analysis and Monte Carlo Simulation

Monte Carlo Simulation technique and the Decision Tree Analysis approach to form a comprehensive method for project valuation under risk and;

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Handbook in Monte Carlo Simulation

applicationsof Monte Carlo techniques to answer these issues. The book is organized into five parts: introduction andmotivation; input analysis, modeling;

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Monte Carlo Applications In Systems Engineering

industrial problems. It presents an integrated approach to systems engineering incorporating data analysis, reliability, maintainability, logistics;

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Quasi-Monte Carlo Methods in Finance

how these methods can be used to accelerate the plain Monte Carlo sampling approach. In the second part we provide a thourough introduction to;

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Student Solutions Manual To Accompany Simulation And The Monte Carlo Method

approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide;

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Advances In Chemical Physics

In Monte Carlo Methods in Chemical Physics: An Introduction to the Monte Carlo Method for Particle Simulations J. Ilja Siepmann Random;

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Understanding Least Squares Estimation and Geomatics Data Analysis

Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs Rich;

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Exploring Monte Carlo Methods

Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to be known as Monte Carlo. The book;

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Monte-Carlo Simulation-Based Statistical Modeling

This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present;

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Monte-carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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Monte-Carlo Methods and Stochastic Processes

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear;

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A Primer for the Monte Carlo Method

estimations, neutron transport, astrophysics, and numerical analysis. The only prerequisite to using the book is an understanding of elementary;

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A Primer for the Monte Carlo Method

estimations, neutron transport, astrophysics, and numerical analysis. The only prerequisite to using the book is an understanding of elementary;

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Monte Carlo and Quasi-Monte Carlo Sampling

Quasi-Monte Carlo methods have become an increasingly popular alternative to Monte Carlo methods over the last two decades. Their;

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Supremum & Stability of Weighted Pseudoinverses & Weighted Least Squares Problems

of weighted pseudoinverses, weighted least squares problems and constrained weighted least squares problems, and stable methods for solving weighted;

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Monte Carlo

This work is a useful reference book of classic research and new writing on the methodologies and applications of Monte Carlo simulation;

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Monte Carlo Calculations in Nuclear Medicine

From first principles to current computer applications, Monte Carlo Calculations in Nuclear Medicine, Second Edition: Applications;

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Fast Sequential Monte Carlo Methods for Counting and Optimization

includes: * Detailed algorithms needed to practice solving real-world problems * Numerous examples with Monte Carlo method produced solutions;

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Mean Field Simulation for Monte Carlo Integration

refined convergence analysis on nonlinear Markov chain models, the author discusses applications related to parameter estimation in hidden Markov;

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Mean Field Simulation for Monte Carlo Integration

refined convergence analysis on nonlinear Markov chain models, the author discusses applications related to parameter estimation in hidden Markov;

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Monte Carlo Techniques in Radiation Therapy

Modern cancer treatment relies on Monte Carlo simulations to help radiotherapists and clinical physicists better understand and compute;

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