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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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Engineering Risk Assessment with Subset Simulation

ideas This book is essential reading for graduate students, researchers and engineers interested in applying Monte Carlo methods for risk;

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Advances in Fuzzy Decision Making

in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo;

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Financial Modeling with Crystal Ball and Excel

of why risk analysis is vital to the decision-making process, for any problem posed in finance and investment. This reliable resource reviews the;

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Real Options Analysis

The real option methodology is the generalized approach in corporate financial decision-making, investing and valuation. Traditionally;

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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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Probability, Statistics, and Reliability for Engineers and Scientists

scientists for the purposes of data and uncertainty analysis and modeling in support of decision making. The third edition of this bestselling;

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Decision Making with Insight (with Insight.xla 2.0 and CD-ROM)

introduction to methods of decision making. This book and accompanying suite of Excel add-ins for quantitative analysis covers Monte Carlo simulation;

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Primer on Risk Analysis

decision making under uncertainty designed to help decision makers use the results of risk analysis in practical ways to improve decisions and;

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Primer on Risk Analysis

decision making under uncertainty designed to help decision makers use the results of risk analysis in practical ways to improve decisions and;

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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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Uncertainty Quantification and Predictive Computational Science

of simulation in high-consequence decision-making throughout the engineering and physical sciences. Constructing sophisticated techniques for;

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Modern Risk Quantification in Complex Projects

Project practitioners and decision makers complain that both parametric and Monte Carlo methods fail to produce accurate project duration;

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Probability Models for Economic Decisions

uncertainty. This textbook offers an introduction to the use of probability models for analyzing risks and economic decisions. It takes a learn-by;

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Practical Spreadsheet Modeling Using @Risk

on real data and relevant decision problems Comprehensive use of the @Risk software for simulation analysis, including a free one-year;

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Practical Spreadsheet Modeling Using @Risk

exercises based on real data and relevant decision problems Comprehensive use of the @Risk software for simulation analysis, including a;

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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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An Analysis of Investment Options Appraisal Methodology

appraisals. The book further recommends for incorporating risk analysis using Monte-Carlo Simulation to account for the uncertain assumptions built;

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Handbook of Research on Leveraging Risk and Uncertainties for Effective Project Management

risk analysis, and various aspects of project decision making, this book is ideally designed for project and risk managers, project engineers;

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Mean Field Simulation for Monte Carlo Integration

applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally;

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Mean Field Simulation for Monte Carlo Integration

applications of Monte Carlo simulation in computational physics, population biology, computer sciences, and statistical machine learning. Ideally;

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Management Decision Making

, integer linear programming, decision analysis, decision trees, queues, and Monte Carlo simulation. The book is aimed at students of business;

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Environmental Risk Management

under uncertainty, showing the potential of tools such as Monte Carlo analysis and fuzzy logic, and leading to a review of risk assessment and;

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Modeling in Medical Decision Making

decision making. Provides an overview of the necessary methodological background, including Bayesian inference, Monte Carlo simulation, and;

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Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts

these conditions has become much more manageable. Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk;

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Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk Contexts

these conditions has become much more manageable. Advanced Models and Tools for Effective Decision Making Under Uncertainty and Risk;

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Investment and Financial Forecasting

the risk. This book examines and analyzes the use of data mining techniques and Monte Carlo simulations as a forecasting tool. In order to;

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