eBook Analyzing Risk through Probabilistic Modeling in Operations Research, 1st Edition

  • Dariusz Jacek Jakobczak
  • Published By: Business Science Reference
  • ISBN-10: 1466694599
  • ISBN-13: 9781466694590
  • DDC: 658.15
  • Grade Level Range: College Freshman - College Senior
  • 441 Pages | eBook
  • Original Copyright 2015 | Published/Released June 2016
  • This publication's content originally published in print form: 2015
  • Price:  Sign in for price

About

Overview

This title offers exhaustive coverage on a wide range of topics within operational research including decision analysis, data mining, process modeling, probabilistic interpolation and extrapolation, and optimization methods. It is an essential reference for decision makers, academicians, researchers, advanced-level students, technology developers, and government officials interested in the implementation of probabilistic modeling in various business applications.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Other Frontmatter.
Other Frontmatter.
Table of Contents.
Detailed Table of Contents.
Preface.
Acknowledgment.
Probabilistic Modeling in Risk Analysis.
1: Data Extrapolation via Curve Modeling in Analyzing Risk: Value Anticipation for Decision Making.
2: The Method of Probabilistic Nodes Combination in Decision Making and Risk Analysis: Data Extrapolation in Planning.
3: Perfect Partners of Mathematical Modeling with Technology in Risk Assessment.
4: Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm.
5: A Bayesian Approach to Project Control.
6: A Sequential Probabilistic System for Bankruptcy Data Classification.
Decision Making and Risk Management.
7: Risk Management: Role and Importance in Business Organization.
8: A Different Way to Look at Random Variables: Do Decision Makers Look at Functions or at Sets?.
9: Simulation Output Analysis and Risk Management.
10: Costing Systems for Decision Making under Uncertainty Using Probabilistic Models.
11: Multi-Attribute Decision Making in Risk Analysis.
Case Studies from Business and Industry.
12: Condition-Based Maintenance: Capital Goods Industry.
13: Applying Probabilistic Risk Assessment to Safety Risk Analysis in Aviation.
14: Risk-Averse Newsboy Problem with Incomplete Demand Information: Risk-Averse Newsboy Problem.
15: Price Systems for Random Amounts: A Unified Approach.
16: Survival Analysis and ROC Analysis in Analyzing Credit Risks: Assessing Default Risks Over Time.
Compilation of References.
About the Contributors.
Index.
Front Cover.
Title Page.
Copyright Page.
Other Frontmatter.
Other Frontmatter.
Table of Contents.
Detailed Table of Contents.
Preface.
Acknowledgment.
Probabilistic Modeling in Risk Analysis.
1: Data Extrapolation via Curve Modeling in Analyzing Risk: Value Anticipation for Decision Making.
2: The Method of Probabilistic Nodes Combination in Decision Making and Risk Analysis: Data Extrapolation in Planning.
3: Perfect Partners of Mathematical Modeling with Technology in Risk Assessment.
4: Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm.
5: A Bayesian Approach to Project Control.
6: A Sequential Probabilistic System for Bankruptcy Data Classification.
Decision Making and Risk Management.
7: Risk Management: Role and Importance in Business Organization.
8: A Different Way to Look at Random Variables: Do Decision Makers Look at Functions or at Sets?.
9: Simulation Output Analysis and Risk Management.
10: Costing Systems for Decision Making under Uncertainty Using Probabilistic Models.
11: Multi-Attribute Decision Making in Risk Analysis.
Case Studies from Business and Industry.
12: Condition-Based Maintenance: Capital Goods Industry.
13: Applying Probabilistic Risk Assessment to Safety Risk Analysis in Aviation.
14: Risk-Averse Newsboy Problem with Incomplete Demand Information: Risk-Averse Newsboy Problem.
15: Price Systems for Random Amounts: A Unified Approach.
16: Survival Analysis and ROC Analysis in Analyzing Credit Risks: Assessing Default Risks Over Time.
Compilation of References.
About the Contributors.
Index.