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About the Item:
This is a practitioner’s book, combining theoretical and practical applications for project professionals. It is a loosely coupled work flow that takes PM’s through the most important quantitative methods, integrates them, and shows interrelationships that cannot be obtained by separate readings. These practical methods can be applied easily by project practitioners who are not steeped in theory and need to know how to make everyday use of numerical analysis in projects. This book also covers financial and life cycle risk as well as risk for the project itself and contains unique extensions to earned value and project initiation. This book will be of particular interest to project managers, program managers, project administrators, system engineers, cost and risk estimators, as well as continuing education and seminar providers. Many J. Ross Publishing customers have purchased John Goodpasture's Quantitative Methods in Project Management with David Rico's ROI of Software Process Improvement - a book that masterfully illuminates complex topics in ROI. For more information on this title, please click here. | ||||||||||||||||||||||||||
Key Features:
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About the Author(s):
John Goodpasture is President, Square Peg Consulting, Inc., a consulting firm in the field of project management. He has an MS in Electrical Engineering and over 35 years of work experience in complex multi-million-dollar programs and projects in the defense, intelligence, aerospace and commercial industries. John is the author of Managing Projects for Value, has authored dozens of articles in PM Network magazine, and has authored and presented numerous papers and several unique quantitative techniques to PMI National Symposium. He is an experienced and sought-after speaker, instructor, and lecturer. | ||||||||||||||||||||||||||
Table of Contents:
Project Value: The Source of All Quantitative Measures Successful Projects Business Value Is the Motivator for Projects A Framework for Value, Risk, and Capability: The Project Balance Sheet Summary Introduction to Probability and Statistics for Projects There are No Facts about the Future Probability... What Do We Mean by It? Random Variables and Their Functions in Projects Probability Distributions for Project Managers Key Statistics Used in Projects The Arithmetic of Operations on Statistics and Random Variables Probability Distribution Statistics The Central Limit Theorem and Law of Large Numbers Confidence Intervals and Limits for Projects Covariance and Correlation in Projects Summary Organizing and Estimating the Work Organizing the Scope of the Work Estimating Methods for Projects Summary Making Quantitative Decisions A Project Policy for Decisions The Decision Tree Decision Tables Decisions and Conditions Summary Risk-Adjusted Financial Management Financial Statements Capital Budgeting Discounted Cash Flow Summary Expense Accounting and Earned Value The Expense Statement Applying Three-Point Statistical Estimates to Cost The Earned Value Concept Preparing the Project Team for Earned Value Applying Earned Value Time-Centric Earned Value Summary Quantitative Time Management Quantitative Techniques in Time Management Setting the Program Milestone The Schedule Network The Critical Path Method The Central Limit Theorem Applied to Networks Monte Carlo Simulation of the Network Performance Architecture Weaknesses in Scheduling Logic Rolling Wave Plan The Critical Chain Summary Special Topics in Quantitative Management Regression Analysis Hypothesis Testing Risk Management with Probability Times Impact Analysis Six Sigma and Project Management Quality Function Deployment Summary Quantitative Methods in Project Contracts Project Contracts The Mathematics of Project Contracts Summary Index | ||||||||||||||||||||||||||
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